EPIQ Series Diagnostic Ultrasound System, Affiniti Series Diagnostic Ultrasound System
Applicant
Philips Ultrasound, LLC
Product Code
IYN · Radiology
Decision Date
Mar 27, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1550
Device Class
Class 2
Attributes
AI/ML, Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K253595 · Mar 27, 2026
EPIQ Series Diagnostic Ultrasound System, Affiniti Series Diagnostic Ultrasound System
Philips Ultrasound, LLC
Retrospective ultrasound images from 150 clinical subjects
Retrospective clinical images were used to validate the performance of the AI Auto Measure Abdomen algorithm by comparing AI-generated measurements against manual measurements performed by clinical experts.
Retrospective data; AI validation; Abdominal ultrasound; Performance validation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
AI Auto Measure Abdomen Performance Validation; Retrospective performance validation study
Adults (≥18 years) referred for abdominal or renal ultrasound and healthy volunteers; Sample Size: 150 subjects; Number of Sites: 3
Manual measurements by 3 clinical experts (ground truth)
Bland-Altman limits of agreement between AI measurements and manual ground truth for kidney and spleen dimensions
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Kidney sagittal length
—
Bland-Altman 95% CI of LoA within [-14.3%, 14.3%]
95% CI of LoA (-7.10%, 8.02%)
—
—
Performance validation study: 150 subjects (292 images for kidney length)
3 (clinical experts)
Kidney transverse width
—
Bland-Altman 95% CI of LoA within [-33.7%, 33.7%]
95% CI of LoA (-18.77%, 19.29%)
—
—
Performance validation study: 150 subjects (271 images for kidney width and height)
3 (clinical experts)
Kidney transverse height
—
Bland-Altman 95% CI of LoA within [-30.1%, 30.1%]
95% CI of LoA (-13.22%, 14.30%)
—
—
Performance validation study: 150 subjects (271 images for kidney width and height)
3 (clinical experts)
Spleen length
—
Bland-Altman 95% CI of LoA within [-15.9%, 15.9%]
95% CI of LoA (-8.63%, 13.32%)
—
—
Performance validation study: 150 subjects (145 images for spleen length)
3 (clinical experts)
Indications for Use
The intended use of EPIQ Ultrasound Diagnostic Series is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use: Abdominal, Cardiac Adult, Cardiac other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), intra-luminal, intra-cardiac echo, Musculoskeletal (Conventional), Musculoskeletal (Superficial), Ophthalmic, Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung. Modes of operation include: B Mode(3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging. The clinical environments where EPIQ Series Diagnostic ultrasound Systems can be used include clinics, hospitals, and clinical point-of-care for diagnosis of patients. When integrated with Philips EchoNavigator, the systems can assist the interventionalist and surgeon with image guidance during treatment of cardiovascular disease in which the procedure uses both live X-ray and live echo guidance. The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information. Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure. The intended use of Affiniti Series Diagnostic Ultrasound System is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use: Abdominal, Cardiac Adult, Cardiac Other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), Musculoskeletal (Conventional), Musculoskeletal (Superficial), Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung. Modes of operation include: B Mode (3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging. The clinical environments where the Affiniti diagnostic ultrasound systems can be used include clinics, hospitals, and clinical point-of-care for diagnosis of patients. The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information. Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure.
Device Story
EPIQ and Affiniti Series are diagnostic ultrasound systems; input consists of ultrasound signals captured via C5-1 and C9-2 transducers. New 'Auto Measure Abdomen' feature uses AI-based software to provide semi-automated measurements of kidney (sagittal length, transverse width/height) and spleen (length). System displays images and measurements; users can accept or manually edit caliper positions. Used in clinics, hospitals, and point-of-care by trained sonographers/physicians. Output assists clinicians in routine abdominal/renal exams; improves workflow efficiency. Benefits include standardized, semi-automated quantification of organ dimensions, reducing manual measurement variability.
Clinical Evidence
Bench-only performance validation study. 150 ultrasound exams (150 subjects) used to evaluate AI Auto Measure Abdomen algorithm. Ground truth established by average of manual measurements from 3 clinical experts. Metrics: Bland-Altman LoA analysis showed strong concordance; all 95% CIs for LoA satisfied predefined acceptance criteria. Demographic diversity included varied BMI, age (22-85), and clinical status (normal/abnormal).
Technological Characteristics
Diagnostic ultrasound system; B-mode (3D/4D), M-mode, Doppler (PW/CW/Color/Power), Harmonic Imaging. Software version 14.0+. AI-based measurement feature for abdominal organs. Complies with IEC 62304 (software lifecycle) and ISO 14971 (risk management). Transducers C5-1 and C9-2. No hardware changes; no new biocompatibility or sterilization requirements.
Indications for Use
Indicated for diagnostic ultrasound imaging and fluid flow analysis of the human body, including abdominal, cardiac (adult/pediatric/fetal), vascular, obstetric, gynecological, musculoskeletal, ophthalmic, urological, small organ, and lung applications. Intended for use in clinics, hospitals, and point-of-care settings by trained healthcare professionals.
Regulatory Classification
Identification
An ultrasonic pulsed doppler imaging system is a device that combines the features of continuous wave doppler-effect technology with pulsed-echo effect technology and is intended to determine stationary body tissue characteristics, such as depth or location of tissue interfaces or dynamic tissue characteristics such as velocity of blood or tissue motion. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Predicate Devices
EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound (K243794)
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FDA U.S. FOOD & DRUG ADMINISTRATION
Philips Ultrasound, LLC
Lakshmi Sanjana Gondesi
Senior Regulatory Affairs Specialist
22100 Bothell Everett Hwy
Bothell, Washington 98021
March 27, 2026
Re: K253595
Trade/Device Name: EPIQ Series Diagnostic Ultrasound System Affiniti Series Diagnostic Ultrasound System
Regulation Number: 21 CFR 892.1550
Regulation Name: Ultrasonic Pulsed Doppler Imaging System
Regulatory Class: Class II
Product Code: IYN, IYO, ITX, OBJ, QIH
Dated: February 25, 2026
Received: February 26, 2026
Dear Lakshmi Sanjana Gondesi:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K253595 - Lakshmi Sanjana Gondesi
Page 2
(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
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K253595 - Lakshmi Sanjana Gondesi
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Sincerely,
Digitally signed by Michael D. O'hara -S
Date: 2026.03.27 08:20:54 -04'00'
For
Yanna Kang
Assistant Director
Mammography and Ultrasound Team
DHT8C: Division of Radiological
Imaging and Radiation Therapy Devices
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K253595 | ? |
| Please provide the device trade name(s). | | ? |
| EPIQ Series Diagnostic Ultrasound System
Affiniti Series Diagnostic Ultrasound System | | |
| Please provide your Indications for Use below. | | ? |
| EPIQ Series Diagnostic Ultrasound System | | |
| The intended use of EPIQ Ultrasound Diagnostic Series is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use: | | |
| Abdominal, Cardiac Adult, Cardiac other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), intra-luminal, intra-cardiac echo, Musculoskeletal (Conventional), Musculoskeletal (Superficial), Ophthalmic, Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung. | | |
| Modes of operation include: B Mode(3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging. | | |
| The clinical environments where EPIQ Series Diagnostic ultrasound Systems can be used include clinics, hospitals, and clinical point-of-care for diagnosis of patients. | | |
| When integrated with Philips EchoNavigator, the systems can assist the interventionalist and surgeon with image guidance during treatment of cardiovascular disease in which the procedure uses both live X-ray and live echo guidance. | | |
| The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information. Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure. | | |
| Affiniti Series Diagnostic Ultrasound System | | |
| The intended use of Affiniti Series Diagnostic Ultrasound System is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use: | | |
| Abdominal, Cardiac Adult, Cardiac Other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), Musculoskeletal (Conventional), Musculoskeletal (Superficial), Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung. | | |
| Modes of operation include: B Mode (3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging. | | |
| The clinical environments where the Affiniti diagnostic ultrasound systems can be used include clinics, | | |
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| hospitals, and clinical point-of-care for diagnosis of patients. | |
| --- | --- |
| The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information. | |
| Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure. | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) |
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PHILIPS
# 510(k) Summary
This summary of safety and effectiveness of information is submitted in accordance with 21 CFR § 807.92.
510(k) Number : K253595
Date Prepared: March 25, 2026
## I. Submitter
**Manufacturer Name and Address**
Philips Ultrasound LLC
22100 Bothell Everett Hwy
Bothell, WA 98021-8431 USA
**Contact Person (Primary):**
Lakshmi Sanjana Gondesi
Senior Regulatory Affairs Specialist
Philips Ultrasound LLC
22100 Bothell Everett Highway
Bothell, WA 98021
sanjana.gondesi@philips.com
Phone: 1 425-482-8200
**Contact Person (Secondary):**
Irma Sandoval-Watt
Senior Regulatory Manager
Philips Ultrasound LLC
22100 Bothell Everett Hwy
Bothell, WA 98021-8431 USA
irma.sandoval-watt@philips.com
Phone: 1-303-453-3421
## II. Device
**Proprietary Name**
EPIQ Series Diagnostic Ultrasound System
Affiniti Series Diagnostic Ultrasound System
**Common Name**
Diagnostic Ultrasound System and Transducers
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PHILIPS
# Regulation Description
| Classification Description | 21 CFR § | Product Code |
| --- | --- | --- |
| Primary | | |
| System, imaging, pulsed doppler, ultrasonic | 892.1550 | IYN |
| Secondary | | |
| System, imaging, pulsed echo, ultrasonic | 892.1560 | IYO |
| Transducer, ultrasonic, diagnostic | 892.1570 | ITX |
| Automated Radiological Image Processing Software | 892.2050 | QIH |
| Diagnostic Intravascular Catheter | 870.1200 | OBJ* |
Device Class
Class II
Review Panel
Radiology
Predicate Device
K243794, EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound (Philips Ultrasound LLC)
Reference Device
K231966, LOGIQ E10 (GE Medical Systems Ultrasound and Primary care Diagnostics, LLC)
*OBJ product code applicable only to Philips EPIQ Series Diagnostic Ultrasound System
# III. Device Description
The purpose of this Traditional 510(k) Pre-Market Notification is to introduce the addition of the Artificial Intelligence (AI) Auto Measure Abdomen feature software application onto the EPIQ Series Diagnostic Ultrasound Systems and Affiniti Series Diagnostic Ultrasound Systems.
The Auto Measure Abdomen feature on Philips EPIQ and Affiniti Series Diagnostic Ultrasound System aims to improve workflow efficiency by automating selected measurements required for routine abdominal and renal exams. The Auto Measure feature is designed to provide semi-automated and editable measures of abdominal organs such as kidney and spleen. The software provides a semi-automated measurement capability. Users may adjust the position of the caliper end points for measurement refinement or perform additional manual measurements. The Auto Measure Abdomen feature is available in C5-1 and C9-2 transducers only.
The software applications are supported by all EPIQ and Affiniti models running software version 14.0 or higher.
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PHILIPS
## IV. Intended Use and Indications for Use
### EPIQ Intended Use:
The intended use of EPIQ Series Diagnostic Ultrasound System is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use:
Abdominal, Cardiac Adult, Cardiac other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), intra-luminal, intra-cardiac echo, Musculoskeletal (Conventional), Musculoskeletal (Superficial), Ophthalmic, Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung.
Modes of operation include: B Mode (3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging.
The clinical environments where EPIQ Series Diagnostic ultrasound Systems can be used include clinics, hospitals, and clinical point-of-care for diagnosis of patients.
When integrated with Philips EchoNavigator, the systems can assist the interventionalist and surgeon with image guidance during treatment of cardiovascular disease in which the procedure uses both live X-ray and live echo guidance.
The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information. Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure.
### Affiniti Indications of Use:
The intended use of Affiniti Series Diagnostic Ultrasound Systems is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use:
Abdominal, Cardiac Adult, Cardiac Other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), Musculoskeletal (Conventional), Musculoskeletal (Superficial), Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung.
Modes of operation include: B Mode (3D/4D), M Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Power Doppler and Harmonic Imaging.
The clinical environments where the Affiniti diagnostic ultrasound systems can be used include clinics, hospitals, and clinical point-of-care for diagnosis of patients.
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PHILIPS
The systems are intended to be installed, used, and operated only in accordance with the safety procedures and operating instructions given in the product user information.
Systems are to be operated only by appropriately trained healthcare professionals for the purposes for which they were designed. However, nothing stated in the user information reduces your responsibility for sound clinical judgement and best clinical procedure.
Note: There are no changes to the Affiniti Ultrasound System Indications for Use due to addition of the Auto Measure Abdomen feature. This software feature is associated with the Abdomen Adult indication supported on transducers C5-1 and C9-2 only that was cleared through K132304.
## V. Comparison of Technological Characteristics with the Predicate
The purpose of the submission is to introduce Auto Measure Abdomen feature software application to the EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound System. The proposed device is substantially equivalent to the predicate device (K243794).
The proposed devices and predicate device:
- Are indicated for the diagnostic ultrasonic imaging and fluid flow analysis.
- Have identical intended users and use environments.
- Have the same device classification and product codes.
- Have identical software architecture.
- Have identical hardware and imaging modes.
The major difference between proposed device and predicate is Auto Measure feature used in predicate device (K243794) is used for cardiac indication. The proposed device Auto Measure Abdomen feature will be available under previously cleared abdominal indication (K132304) for EPIQ and Affiniti Series Diagnostic Ultrasound Systems. Performance study for validation was conducted for Auto Measure Abdomen that includes patients scanned by both C5-1 and C9-2.
## VI. Safety Considerations
The proposed EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound System, including Auto Measure Abdomen feature software application, and compatible transducers are all Track 3 Devices and comply with the referenced standards as well as the FDA ultrasound guidance document, Guidance for Industry and FDA Staff – Marketing Clearance of Diagnostic Ultrasound Systems and Transducers, issued in February 2023.
## VII. Nonclinical Performance Data
The proposed modification of the EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound was tested in accordance with Philips internal procedures. Philips Ultrasound tested the proposed device per the following standards to ensure continued safe and effective
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PHILIPS
performance:
- IEC 62304 Medical device software – Software life cycle processes, 2006 + A 2015
- ISO 14971 Medical devices- Application of risk management to medical devices, 2019
Non-clinical verification testing was conducted to address the change and performance test data were provided to support the introduction of the proposed Auto Measure Abdomen software application. The activities to ensure the safe and effective performance of the software revision included, but are not limited to the following:
- Requirements Review
- Risk Analysis and Risk Management Review
- Product Specification Review
- Design Reviews
Non-clinical testing also included the Performance Validation Study for the proposed Auto Measure Abdomen software applications. A data analysis study was conducted to evaluate the performance of the AI Auto Measure Abdomen feature, where ultrasound images previously collected from 150 subjects were used to obtain AI Auto Measure Abdomen algorithm-generated measurements which were then compared to manual measurements performed by 3 clinical experts, with the manual measurements used as ground truth for the study. The clinical experts also reviewed the AI algorithm-generated measurements to either accept or edit the measurements. Images that contributed to the study were obtained from subjects who represented a broad range of demographics, body habitus, and the range of measurements that were representative of the intended population.
## AI Testing Summary
Auto Measure Abdomen:
### a. Summary of test statistics or other test results, including acceptance criteria and any additional information supporting the appropriateness of the characterized performance
The study evaluated AI algorithm performance for four abdominal measurements: kidney sagittal length, kidney transverse width, kidney transverse height, and spleen length. Table 1 presents the comparative clinical measurement results between AI Auto Measure Abdomen and the ground truth. Table 2 provides the Bland-Altman Limits of Agreement (LoA) analysis of the AI Auto Measure Abdomen in relation to the ground truth, with reference to established acceptance criteria.
Table 1. Clinical measurement summary for AI Auto Measure Abdomen and Ground Truth
| Measurement | AI Auto Measure (cm)
Mean ± SD (Min, Max) | Ground Truth (cm)
Mean ± SD (Min, Max) |
| --- | --- | --- |
| Kidney Sagittal Length | 10.55 ± 1.20 (7.54, 14.80) | 10.50 ± 1.17 (7.20, 14.13) |
| Kidney Transverse Width | 5.19 ± 0.60 (3.25, 7.26) | 5.17 ± 0.71 (3.62, 7.30) |
| Kidney Transverse Height | 5.11 ± 0.80 (2.95, 7.71) | 5.10 ± 0.83 (2.84, 7.76) |
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PHILIPS
| Measurement | AI Auto Measure (cm)
Mean ± SD (Min, Max) | Ground Truth (cm)
Mean ± SD (Min, Max) |
| --- | --- | --- |
| Spleen Length | 10.77 ± 2.41 (6.08, 20.36) | 10.53 ± 2.39 (5.52, 19.59) |
Table 2. Primary endpoint: Bland-Altman limits of agreement (in percentage) for clinical measurements between AI Auto Measure Abdomen and Ground Truth
| Measurement | Mean Difference ± SD | 95% LoA | 95% CI of LoA | Acceptance Criteria |
| --- | --- | --- | --- | --- |
| Kidney Sagittal Length | 0.46% ± 3.51% | (-6.41%, 7.33%) | (-7.10%, 8.02%) | [-14.3%, 14.3%] |
| Kidney Transverse Width | 0.26% ± 8.79% | (-16.97%, 17.49%) | (-18.77%, 19.29%) | [-33.7%, 33.7%] |
| Kidney Transverse Height | 0.54% ± 6.36% | (-11.92%, 13.00%) | (-13.22%, 14.30%) | [-30.1%, 30.1%] |
| Spleen Length | 2.34% ± 4.90% | (-7.26%, 11.94%) | (-8.63%, 13.32%) | [-15.9%, 15.9%] |
The primary endpoint analysis indicated a strong concordance between measurements generated by the AI Auto Measure Abdomen algorithm and those obtained manually by clinical experts (serving as ground truth). The confidence intervals (CI) for the LoA satisfied the predefined acceptance criteria established for the study.
# b. The number of individual patients from whom the images were collected
A total of 150 subjects (i.e. 150 ultrasound exams) from whom images were collected for the performance validation study.
# c. The number of samples, if different from above, and the relationship between the two
A total of 292 images in kidney longitudinal view were used for kidney length measurement
A total of 271 images in kidney transverse view were used for kidney width and height measurement
A total of 145 images in spleen sagittal view were used for spleen length measurement.
# d. Demographic distribution including sex, age, and ethnicity
Age (y): 58.59 ±14.70 (Mean ± SD), range (22, 85)
Gender: Female $50\%$ ; Male $50\%$
- BMI $(\mathrm{kg} / \mathrm{m}^{2})$ : $26.20 \pm 4.74$ (Mean ± SD), range (17.97, 48.40)
- Ethnicity:
American Indian $0.67\%$
Asian 31.33%
- Black or African American $3.33\%$
Hispanic $0.67\%$
White 64.00%
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PHILIPS
# e. Information about clinical subgroups and confounders present in the dataset
Validation images were obtained from subjects who represent the intended population with a broad range of demographics, body types and organ measurement values.
More specifically, patients from all BMI categories: Underweight (<18.5), Healthy Weight (18.5 to <25), Overweight (25 to <30), and Obesity (≥30) were included to ensure balanced body habitus representation.
Additionally, the study included patients referred for abdominal or renal exams and healthy volunteers, with datasets reflecting different clinical statuses to maintain clinical relevance:
## Kidney Clinical Status
- Abnormal 22.00 %
- Normal 78.00 %
## Spleen Clinical Status
- Abnormal 1.33 %
- Normal 98.67 %
# f. Information about equipment and protocols used to collect images
Adults (≥18 years) were enrolled at three clinical sites, including patients referred for abdominal or renal ultrasound and healthy volunteers. Imaging was performed using Philips EPIQ and Affiniti systems with C5-1 and C9-2 transducers. Each site followed a standardized study protocol for data collection.
# g. Information about how the reference standard was derived from the dataset (i.e., the "truthing" process)
Three clinical experts independently carried out manual measurements during the performance assessment. The average values obtained from their measurements served as the ground truth and were used to evaluate AI performance. All three experts are registered clinical sonographers with ten or more years of experience in general imaging and abdominal imaging, and each holds active certification by American Registry for Diagnostic Medical Sonography (ARDMS).
# h. Description of how independence of test data from training data was ensured.
The datasets used in the validation study and for regulatory clearance were distinct from those employed during algorithm training. Data independence between performance validation and model development was ensured by sourcing data from different clinical sites, different time periods and different ultrasound systems.
Since this is a software-only change and no new hardware was added, no acoustic output, cleaning and
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PHILIPS
disinfectants, thermal, electrical, electromagnetic, and mechanical safety testing were required. Biocompatibility testing is not needed for the proposed EPIQ Series Diagnostic Ultrasound Systems and Affiniti Series Diagnostic Ultrasound with Auto Measure Abdomen. The transducer patient contact materials and manufacturing processes are not impacted by the release of the proposed EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound with Auto Measure Abdomen.
## VIII. Clinical Data
The proposed device in this premarket submission, EPIQ Series Diagnostic Ultrasound Systems and Affiniti Series Diagnostic Ultrasound Systems with Auto Measure Abdomen software application, did not require clinical studies to support substantial equivalence.
## IX. Sterilization
Not applicable. The ultrasound transducers are not supplied sterile.
## X. Conclusion
The proposed device, EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound System, has a predicate device which is legally marketed. Both subject device and predicate devices have the same intended use. The technological differences between the proposed device and the predicate devices do not raise new or different questions of safety and effectiveness.
Both the proposed device and the predicate were tested with the same types of non-clinical testing methods and follow the same set of standards.
Therefore, the proposed device EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound System is substantially equivalent to the predicate devices in terms of indications for use, design, technological characteristics, modes of operations, safety, and effectiveness.
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Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.