Who is the manufacturer of InferRead Lung CT.AI?

Beijing Infervision Technology Co., Ltd. filed the 510(k) submission for InferRead Lung CT.AI (K192880).

What is the FDA product code for InferRead Lung CT.AI?

OEB. It is classified under 21 CFR 892.2050 as a Class 2 device in the Radiology panel.

What is the regulatory pathway for InferRead Lung CT.AI?

510(k) clearance (submission type: Traditional).

Does InferRead Lung CT.AI use AI or machine learning?

Yes. InferRead Lung CT.AI (K192880) is flagged as an AI/ML-enabled medical device in the FDA's AI/ML device list.

Who can help prepare an FDA 510(k) submission like InferRead Lung CT.AI?

Innolitics — a medical-device software consultancy — provides regulatory and engineering support for FDA 510(k) submissions. See https://innolitics.com/services/510ks/ or contact https://innolitics.com/contact.

Can an AI/ML device like InferRead Lung CT.AI get a guaranteed FDA 510(k) clearance?

Yes. Innolitics offers a guaranteed FDA 510(k) clearance engagement for AI/ML Software as a Medical Device — combining engineering and regulatory execution under one agreement with a guaranteed clearance outcome. Eligibility: the device must be an AI/ML Software as a Medical Device (SaMD), and its performance must meet the criteria Innolitics determines during an initial regulatory strategy engagement to be necessary for FDA clearance. See https://innolitics.com/services/end-to-end-samd/ or contact https://innolitics.com/contact.

InferRead Lung CT.AI

K192880 · Beijing Infervision Technology Co., Ltd. · OEB · Jul 2, 2020 · Radiology

Device Facts

Record ID	K192880
Device Name	InferRead Lung CT.AI
Applicant	Beijing Infervision Technology Co., Ltd.
Product Code	OEB · Radiology
Decision Date	Jul 2, 2020
Decision	SESE
Submission Type	Traditional
Regulation	21 CFR 892.2050
Device Class	Class 2
Attributes	AI/ML, Software as a Medical Device

Intended Use

Computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during review of CT examinations of the chest.

Device Story

InferRead Lung CT.AI is a SaaS-based computer-assisted detection (CADe) tool for chest CT examinations. It receives DICOM images from PACS, RIS, or CT scanners via a browser/server architecture. The system analyzes images to identify pulmonary nodules, providing bounding box annotations and quantitative measurements (max axial diameter, mean diameter, volume). It does not modify the original CT scan; annotations are overlaid on the original images and can be toggled. Used in clinical settings by radiologists to assist in nodule detection. The output provides adjunctive information to support clinical decision-making, potentially improving detection sensitivity and reducing reading time compared to unaided review.

Clinical Evidence

Retrospective, fully crossed, multi-reader multi-case (MRMC) study with 10 board-certified radiologists and 249 scans. Primary endpoint: LROC AUC improvement. Results: Aided vs. unaided AUC increase of 0.073 (95% CI: 0.020, 0.125), p<0.05. Secondary endpoint: reading time. Results: Aided vs. unaided reading time decrease of 23s (95% CI: -42, -3). Study demonstrates superior detection performance with the device compared to unaided read.

Technological Characteristics

SaaS-based post-processing application. Architecture: Browser/Server. Input: DICOM CT images. Output: Bounding box annotations and nodule metrics (diameter, volume). Connectivity: Networked integration with hospital PACS/RIS. Software: 4 modules (Image reception, DLServer, RePACS, NeoViewer).

Indications for Use

Indicated for use as computer-assisted reading tools to aid radiologists in detecting pulmonary nodules during review of chest CT examinations in asymptomatic populations. Requires both lungs in the field of view. Provides adjunctive information; not intended for use without the original CT series. Prescription use only.

Regulatory Classification

Identification

A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.

Special Controls

*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).

Predicate Devices

ClearRead CT (K161201)

Related Devices

K240554 — InferRead Lung CT.AI · Infervision Medical Technology Co., Ltd. · May 16, 2025
K242919 — V5med Lung AI · V5med, Inc. · Mar 27, 2025
K251203 — AVIEW Lung Nodule CAD · Coreline Soft Co., Ltd. · Dec 3, 2025
K203258 — syngo.CT Lung CAD · Siemens Healthcare GmbH · Mar 31, 2021
K221592 — AVIEW Lung Nodule CAD · Coreline Soft Co., Ltd. · Feb 24, 2023

Submission Summary (Full Text)

{0}------------------------------------------------ Image /page/0/Picture/0 description: The image contains the logos of the U.S. Department of Health & Human Services and the U.S. Food & Drug Administration (FDA). The Department of Health & Human Services logo is on the left and features a stylized caduceus. The FDA logo is on the right and consists of the FDA acronym in a blue square, followed by the words "U.S. FOOD & DRUG" in large, bold, blue letters, with the word "ADMINISTRATION" underneath in smaller letters. Beijing Infervision Technology Co., Ltd. % Matt Deng 1900 Market St., 8th Floor PHILADELPHIA, PA 19103 July 2, 2020 ### Re: K192880 Trade/Device Name: InferRead Lung CT.AI Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: OEB, LLZ Dated: June 2, 2020 Received: June 3, 2020 Dear Matt Deng: 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 (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 located 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. 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 of medical device-related adverse events) (21 CFR 803) for {1}------------------------------------------------ devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 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-device-safety/medical-device-reportingmdr-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/medicaldevices/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-device-advice-comprehensive-regulatoryassistance/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). Sincerely, For Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health Enclosure {2}------------------------------------------------ # Indications for Use 510(k) Number (if known) #### K192880 Device Name InferRead Lung CT.AI #### Indications for Use (Describe) InferRead Lung CT.AI is comprised of computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during the review of CT examinations of the chest on an asymptomatic population. InferRead Lung CT.AI requires that both lungs be in the field of view. InferRead Lung CT.AI provides adjunctive information and is not intended to be used without the original CT series. Type of Use (Select one or both, as applicable) | <div> ☒ Prescription Use (Part 21 CFR 801 Subpart D) </div> | |-------------------------------------------------------------------------------------------------------------------------| |-------------------------------------------------------------------------------------------------------------------------| | <div> ☐ Over-The-Counter Use (21 CFR 801 Subpart C) </div> | |------------------------------------------------------------------------------------------------------------------------| |------------------------------------------------------------------------------------------------------------------------| #### CONTINUE ON A SEPARATE PAGE IF NEEDED. This section applies only to requirements of the Paperwork Reduction Act of 1995. #### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.* The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to: > Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov "An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number." {3}------------------------------------------------ # Summary of 510(k) # Beijing Infervision Technology Co., Ltd. K192880 This 510(k) Summary is in conformance with 21CFR 807.92 | Submitter: | Beijing Infervision Technology Co., Ltd. Room B401, 4th Floor, Building 1, No.12 Shangdi Information Road. Haidian District, Beijing, 100085 Phone: +86 10-86462323 | |------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Primary Contact: | Mr. Matt Deng Email: dyufeng@infervision.com Phone: 919-491-5457 | | Company Contact: | Xiaoyan Fan Project Leader | | Date Prepared: | July 1, 2020 | # Device Name and Classification | Trade Name: | InferRead Lung CT.AI | |-----------------------|--------------------------------------------------------------| | Classification: | Class II | | Regulation Number: | 21 CFR 892.2050, Picture archiving and communications system | | Classification Panel: | Radiology | | Product Code: | OEB, LLZ | ## Predicate Device: | Trade Name | ClearRead CT | |----------------------|--------------------------------------------------------------| | Classification | Class II | | 510(k) Number | K161201 | | Regulation Number | 21 CFR 892.2050, Picture archiving and communications system | | Classification Panel | Radiology Panel | | Product Code | OEB, LLZ | {4}------------------------------------------------ ## Device Description InferRead Lung CT.AI uses the Browser/Server architecture, and is provided as Service (SaaS) via a URL. The system integrates algorithm logic and database in the same the simplicity of the system and the convenience of system maintenance. The server is able to accept chest CT images from a PACS system, Radiological Information System) or directly from a CT scanner, analyze the images and provide output annotations regarding lung nodules. Users are an existing PACS system to view the annotations. Dedicated servers can be located at hospitals and are directly connected to the hospital networks. The software consists of 4 modules which are Image reception (Docking Toolbox), Image predictive processing (DLServer), Image storage (RePACS) and Image display (NeoViewer). ## Indications for Use InferRead Lung CT.AI is comprised of computer assisted to aid the radiologist in the detection of pulmonary nodules during the review of CT examinations of the chest on an asymptomatic population. InferRead Lung CT.AI requires that both lungs be in the field of view. InferRead Lung CT.Al provides adjunctive information and is not intended to be used without the original CT series. ### Risk Analysis Method The InferRead Lung CT.AI was assessed to determine risks to health associated with the use of the device. Risks related to safety and usability were considered. A risk analysis was conducted in accordance with ISO 14971:2007, Medical devices – Application of risk management to medical devices. Several risks were assessed, including, but not limited to device malfunction and improper use. #### Substantial Equivalence InferRead Lung CT.AI is substantially equivalent to the ClearRead CT (K161201) currently on the market. The table below provides a detailed comparison of InferRead Lung CT.AI to the predicate device. | Item | InferRead Lung CT.AI (Subject Device) | ClearRead CT (K161201) (Predicate Device) | Comparison | |----------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Indications for Use | InferRead Lung CT.AI is comprised of computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules | ClearRead CT™ is comprised of computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during | The indications for use of InferRead Lung CT.AI are identical to the indications for use of the previously cleared ClearRead CT. | | | | | | | | during the review of CT examinations of the chest on an asymptomatic population. InferRead Lung CT.AI requires that both lungs be in the field of view. InferRead Lung CT.AI provides adjunctive information and is not intended to be used without the original CT series. | review of CT examinations of the chest on an asymptomatic population. The ClearRead CT requires both lungs be in the field of view. ClearRead CT provides adjunctive information and is not intended to be used without the original CT series. | | | Intended Use | Computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during review of CT examinations of the chest. | Computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during review of CT examinations of the chest. | The intended use of InferRead Lung CT.AI is identical to the intended use of the previously cleared ClearRead CT. | | Accessories/Tools Required by the User (Platform) | Must be used in conjunction with a PACS system or an Image Viewer that reads DICOM images. | Must be used in conjunction with a PACS system or an Image Viewer that reads DICOM images. | The accessories required by the user for InferRead Lung CT.AI are identical to the accessories required by the user for the previously cleared ClearRead CT. | | User Access Point | Post Processing Application | Post Processing Application | The user access point of InferRead Lung CT.AI is identical to the user access point of the previously cleared ClearRead CT. | | Image Input | DICOM | DICOM | The image input of InferRead Lung CT.AI is identical to the image input of the previously cleared ClearRead CT. | | Type of Scans | CT | CT | The type of scans for InferRead Lung CT.AI are identical to the type of scans for the previously cleared ClearRead CT. | | Automatically Locate and Identify Lung | Yes | Yes | The function of automatically locating and identifying lung nodules for InferRead Lung CT.AI is identical to the function of | | | | | | | | | | lung nodules for the previously cleared ClearRead CT. | | Modifies the Original CT Scan | No | Yes | According to the device description of the predicate device found in its 510K summary, "ClearRead CT is a dedicated post-processing application that generates a secondary vessel suppressed Lung CT series with CADe marks and associated region descriptors intended to aid the radiologist in the detection of pulmonarynodules." ClearRead CT modifies the original scan by performing vessel suppression. On the contrary, InferRead Lung CT.AI does not modify the original scan, only shows the locations of pulmonary nodules. This difference does not affect the intended use or safety and effectiveness of the device. | | Requires a Disjoint Comparison with the Original CT Scan | No | Yes | Since ClearRead CT creates a secondary vessel suppressed Lung CT series, it requires the user to have an original CT series on a separate window. There are 2 series open at the same time. We refer to this setup as "disjoint comparison". On the contrary, InferRead Lung CT.AI does not require 2 series open, as its CADe marks overlay with the original CT scan and can be toggled on and off. Therefore, InferRead Lung CT.AI does not require "disjoint comparison" This difference does not affect the intended use or safety and effectiveness of the device. | | | | | InferRead Lung CT.AI display the original CT scans. | | Nodule Marking | A bounding box is provided around nodules | A bounding box is provided around nodules | The function of providing a bounding box around nodules for InferRead Lung CT.AI is identical to the indications for use of the previously cleared ClearRead CT. | | Provides Nodule Characteristics | Yes, the maximum axial plane longest diameter, mean diameter and volume information are provided. | Yes, the volume, maximum axial plane diameter, minimum axial plane diameter, and average density in Hounsfield units are provided. (from website) | InferRead Lung CT.AI has mean diameter measurement function that is not provided by predicate device. Mean diameter is the average of maximum axial plane diameter and minimum axial plane diameter. And this difference does not affect the safety and effectiveness of the device. | | Detection Target(s) | Solid, Sub Solid (part solid and ground glass) nodules | Solid, Sub Solid (part solid and ground glass) nodules | The detection targets of InferRead Lung CT.AI are identical to the detection targets of the previously cleared ClearRead CT. They have the same definition principles for actionable nodules classification. | | Size of Detection Targets | 4mm and above, supports visualization of nodules smaller than 4mm | 5mm and above, supports visualization of nodules smaller than 5mm | The InferRead Lung CT.AI detects smaller nodules. This difference does not affect the intended use or safety and effectiveness of the device. This difference has been addressed with the completion of stand-alone performance characteristics testing. | ## Detailed Comparison of the Subject and Predicate Devices Infervision InferRead Lung CT.AI Traditional 510(k) {5}------------------------------------------------ {6}------------------------------------------------ {7}------------------------------------------------ {8}------------------------------------------------ #### Testing Summary #### Non-clinical performance evaluation Software testing was performed in accordance with General Principles of Software Validation; Final Guidance for Industry and FDA Staff (January 11, 2002). Software testing which included unit testing, software integration testing and software system testing was performed on InferRead Lung CT.AI. It was demonstrated that InferRead Lung CT.AI, when used according to operating instructions, met all requirement specifications. All system functionalities were tested and passed. Measurement performance was validated on phantom and clinical data to assess reproducibility and accuracy. Standalone performance testing which included chest CT scans from patients who underwent lung cancer screening was performed to validate detection accuracy of InferRead Lung CT.AI. Results showed that InferRead Lung CT.AI had similar nodule detection sensitivity and FP/scan compared to those of the predicate device. Based on the results of verification and validation tests it is concluded that InferRead Lung CT.AI is effective and safe in the detection of nodules. ### Clinical performance evaluation A pivotal reader study which was a retrospective, fully crossed, multi-reader multi-case (MRMC) study was conducted to validate that the device conformed to the defined user needs and intended uses. A total of 10 board-certified radiologists and a collection of 249 scans were involved in the reader study. The purpose of the reader study was to validate that with the aided of InferRead Lung CT.AI radiologists' nodule detection performance could significantly improve without significantly increasing reading time at a significance level alpha of 0.05 (two-sided). The reader study measured the area under the curve (AUC) of the localization receiver operating characteristic (LROC) response when using InferRead Lung CT.AI relative to the unaided read. The study also measured the radiologists' interpretation time when using InferRead Lung CT.AI relative to unaided interpretations. Results showed that InferRead Lung CT.AI was found to significantly increase the AUC (Aided - Unaided: 0.073, 95%CI: 0.020, 0.125), indicating the detection performance through using the device is superior to the unaided read for detecting nodules. Moreover, InferRead Lung CT.AI was also found to decrease reading times (Aided - Unaided: -23s, 95%Cl: -42, -3). In conclusion, the pivotal study showed that with the aided of InferRead Lung CT.AI radiologists' nodule detection performance could significantly improve without significantly increasing reading time. #### Substantial Equivalence Conclusions In conclusion, the intended use for InferRead Lung CT.AI is the same as that of the previously cleared ClearRead CT (K161201). The technological characteristics demonstrate that the InferRead Lung CT.AI is substantially equivalent to the previously cleared ClearRead CT (K161201), and the testing shows that the InferRead Lung CT.AI is substantially equivalent to the previously cleared ClearRead CT (K161201) and assures that the InferRead Lung CT.AI is as safe and effective as the previously cleared ClearRead CT (K161201). #### Conclusion {9}------------------------------------------------ The 510(k) Pre-market Notification for InferRead Lung CT.AI contains adequate information and data to determine that InferRead Lung CT.AI is as safe and effective as the legally marketed predicate device.