K103428 · Restoration Robotics, Inc. · ONA · Apr 4, 2011 · Neurology
Device Facts
Record ID
K103428
Device Name
THE ARTAS SYSTEM FROM RESTORATION ROBOTICS
Applicant
Restoration Robotics, Inc.
Product Code
ONA · Neurology
Decision Date
Apr 4, 2011
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.4560
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The ARTAS™ System from Restoration Robotics is indicated for harvesting hair follicles from the scalp in men diagnosed with androgenic alopecia (male pattern hair loss) who have black or brown straight hair. The ARTAS System from Restoration Robotics is intended to assist physicians in identifying and extracting hair follicular units from the scalp during hair transplantation.
Device Story
ARTAS System automates manual Follicular Unit Extraction (FUE) for hair transplantation. Physician positions robotic arm over patient scalp; imaging subsystem identifies follicular units; needle mechanism dissects and extracts units from surrounding tissue. Extracted units transported via suction to storage container for manual implantation by physician/technician. System comprises robotic arm, imaging, needle mechanism, safety subsystem, computer, accessory kits, and patient chair; housed on control cart. Used in clinical setting under physician direction. Benefits include automated, consistent follicular unit harvesting compared to manual techniques.
Clinical Evidence
Multi-center, prospective, blinded clinical study (n=36) comparing ARTAS-harvested vs. manual-harvested hair follicles in men (ages 30-59) with androgenetic alopecia. Primary endpoint: survival of implanted follicles at 9 months. Results showed ARTAS equivalent to manual method (p=0.023). No serious adverse events reported; all complications mild.
Indicated for men aged 30-59 with androgenetic alopecia (male pattern hair loss) and black or brown straight hair.
Regulatory Classification
Identification
A stereotaxic instrument is a device consisting of a rigid frame with a calibrated guide mechanism for precisely positioning probes or other devices within a patient's brain, spinal cord, or other part of the nervous system.
Predicate Devices
Medicamat S.A. Calvitron Hair Transplant System (K952737)
Integrated Surgical Systems, Inc. DigiMatch ROBODOC Surgical System (K072629)
Submission Summary (Full Text)
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#### THE ARTAS™ SYSTEM FROM RESTORATION ROBOTICS 510(k) PREMARKET NOTIFICATION
# SECTION 5
510(K) SUMMARY (CONT.)
Pg. 1 of 4
#### 510(k) Notification K103428
GENERAL INFORMATION
Applicant:
Restoration Robotics, Inc. 1383 Shorebird Way Mountain View, CA 94043 U.S.A. Phone: 650-965-3612 FAX: 650-965-3624
# Contact Person:
Kit Cariquitan Vice President, Regulatory Affairs Experien Group, LLC 155-A Moffett Park Drive, Suite 210 Sunnyvale, CA 94089 U.S.A. Phone: 408-400-0856 FAX: 408-400-0865
Date Prepared: November 19, 2010
#### DEVICE INFORMATION
# Classification:
21CFR §882.4560, Stereotaxic Instrument
Product Code:
ONA
Trade Name: The ARTAS™ System
Generic/Common Name: Stereotaxic Instrument
#### PREDICATE DEVICES
The ARTAS System is substantially equivalent to the following predicate devices:
- Medicamat S.A. Calvitron Hair Transplant System, K952737 .
- Integrated Surgical Systems, Inc. DigiMatch ROBODOC Surgical System, . K072629
APR - 4 2011
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# SECTION 5 510(K) SUMMARY (CONT.)
K103428
### INTENDED USE
The ARTAS™ System from Restoration Robotics is indicated for harvesting hair follicles from the scalp in men diagnosed with androgenic alopecia (male pattern hair loss) who have black or brown straight hair. The ARTAS System from Restoration Robotics is intended to assist physicians in identifying and extracting hair follicular units from the scalp during hair transplantation.
# PRODUCT DESCRIPTION
The ARTAS System implements the manual Follicular Unit Extraction (FUE) approach to harvesting follicular units. The ARTAS System is used, under the direction of a physician, to automate the manual FUE technique. The ARTAS System is positioned over the patient's scalp by the physician. Follicular units are then identified, dissected and extracted from the surrounding tissue on the patient's scalp by the ARTAS System. The follicular units are transported using suction to a storage container where they are stored until they are implanted into the patient's scalp by the physician or technician using current manual implantation techniques.
The ARTAS System is an interactive, image-guided, computer-assisted system consisting of seven main subsystems:
- 1. Robotic Arm Subsystem
- 2. Imaging Subsystem
- 3. Needle Mechanism
- 4. Safety Subsystem
- 5. Computer
- 6. Accessory Kits (Disposable and Reusable)
- 7. Patient Chair
These main subsystems, with the exception of the Accessory Kits and Patient Chair, are housed on or within a Control Cart.
#### SUBSTANTIAL EQUIVALENCE
The proposed indications for use for the ARTAS System is substantially equivalent to the indications for use of the Medicamat S.A. Calvitron Hair Transplant System. Any differences in the technological characteristics between the devices do not raise any new issues of safety or effectiveness. Thus, the ARTAS System is substantially equivalent to the predicate devices.
#### TESTING IN SUPPORT OF SUBSTANTIAL EQUIVALENCE DETERMINATION
All necessary functional and clinical testing was conducted on the ARTAS System to support a determination of substantial equivalence to the predicate devices.
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| SECTION 5 |
|------------------------|
| 510(K) SUMMARY (CONT.) |
#### Nonclinical Testing Summary:
The nonclinical, bench testing included:
- Electrical Safety and Electromagnetic Compatibility Testing .
- Software Verification and Validation Testing .
- Hardware Design Verification Testing .
- � Cytotoxicity Testing
The collective results of the nonclinical testing demonstrate that the materials chosen, the manufacturing processes, and design of the ARTAS System meet the established specifications necessary for consistent performance during its intended use. In addition, the collective bench testing demonstrates that the ARTAS System does not raise new questions of safety or effectiveness for follicular unit extraction when compared to the manual procedure.
## Clinical Testing Summary:
A multi-center, prospective, blinded, clinical study was performed to compare the safety and effectiveness of the ARTAS System to the manual hair follicle harvesting method following a nine month period of post-procedural evaluation. The clinical study enrolled healthy men, between the ages of 30 and 59, who had brown or black straight hair and a clinical diagnosis of androgenetic alopecia (male pattern hair loss).
A total of 36 subjects were treated in this study at two U.S. clinical sites. The mean age of the participants was 48.6 ± 7.5. Subjects predominantly had black hair and stage V or VI baldness on the Norwood-Hamilton Classification scale. The population at both sites was similar.
There were no adverse events, serious adverse events or unanticipated adverse events reported by any subjects during the course of this study. All complications were "Mild" in intensity. None of the subjects terminated the study early due to any safety-related issues.
The primary effectiveness endpoint was the difference in the number of surviving implanted hair follicles at Month 9 post-implantation between those implanted hair follicles that were harvested using the ARTAS System and those that were harvested using the manual method of hair harvest. In comparing the implant results by hair follicle harvest method, the ARTAS System was found to be substantially equivalent to the manual harvest method at nine months (p = 0.023). The primary effectiveness endpoint of this study was achieved.
Page 384
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· THE ARTAS™ SYSTEM FROM RESTORATION ROBOTICS 510(k) PREMARKET NOTIFICATION
# SECTION 5 510(K) SUMMARY (CONT.)
K103428
Page 4 of 4
# CONCLUSION
As demonstrated in this clinical study, no new issues of safety or effectiveness are raised by implementing computer-assisted techniques for follicular unit extraction as compared to the manual procedure. The nonclinical and clinical testing of the ARTAS System has demonstrated the device to be at least as safe and effective as the legally marketed predicate devices.
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Image /page/4/Picture/1 description: The image shows a logo for the Department of Health & Human Services. The logo features a stylized depiction of an eagle or bird with three curved lines forming its body and wings. The words "DEPARTMENT OF HEALTH & HS" are arranged in a semi-circular fashion around the bird symbol.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
Restoration Robotics, Inc. % Experien Group, LLC Kit Cariquitan Vice President, Regulatory Affairs 155-A Moffett Park Drive, Suite 210 Sunnyvale, California 94089
APR - 4 2011
Re: K103428
Trade/Device Name: The ARTAS™ System Regulation Number: 21 CFR 882.4560 Regulation Name: Stereotaxic instrument Regulatory Class: Class II Product Code: ONA Dated: March 21, 2011 Received: March 22, 2011
### Dear Kit Cariquitan:
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. 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.
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Page 2 - Kit Cariquitan
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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutlFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely vours.
ereby yours,
F-e A.V. Def D.A
Mark N. Melkerson Director Division of Surgical, Orthopedic And Restorative Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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2103428
# SECTION 4
INDICATIONS FOR USE STATEMENT
510(k) Number (if known): K103428
Device Name: The ARTAS™ System from Restoration Robotics
#### Indications For Use:
The ARTAS™ System from Restoration Robotics is indicated for harvesting hair follicles from the scalp in men diagnosed with androgenic alopecia (male pattern hair loss) who have black or brown straight hair. The ARTAS System from Restoration Robotics is intended to assist physicians in identifying and extracting hair follicular units from the scalp during hair transplantation.
Prescription Use X (21 CFR Part 801 Subpart D) And/Or
Over the Counter Use (21 CFR Part 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE; CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Nihil for maken
(Division Sign-Off)
Division of Surgical, Orthopedic, and Restorative Devices
510(k) Number K103428
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.