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FDA Product Code NAY: Surgical Robotics Clearance and Recall Trends

A deep dive into FDA product code NAY (computer-assisted surgical systems) using active registry data. Learn about 510(k) clearance trends and recall root causes.

Ran Chen
Ran Chen
Global MedTech Expert | 10× MedTech Global Access
Published 2026-06-21Last reviewed 2026-06-217 min read

Computer-assisted surgical systems—commonly referred to as surgical robots—have revolutionized minimally invasive surgery. However, under the hood of these multi-million dollar platforms lies a complex regulatory history governed by the US Food and Drug Administration (FDA). In the FDA's product classification database, these devices are primarily regulated under product code NAY (the FDA's official device name is System, Surgical, Computer Controlled Instrument).

This article provides a data-driven regulatory analysis of product code NAY, examining 510(k) clearance patterns, applicant dominance, recall frequency, and the engineering root causes that trigger safety actions.


What is FDA Product Code NAY?

Product code NAY falls under the regulation number 21 CFR 876.1500 (Endoscope and Accessories) and is associated with the Gastroenterology/Urology medical specialty. While surgical robots are used in a wide range of procedures, including gynecological, general surgery, cardiothoracic, and urological operations, their core regulatory architecture stems from laparoscopic and endoscopic visualization and instrument control.

As a Class II device, computer-assisted surgical systems require a Premarket Notification [510(k)] clearance before commercialization. The FDA classification definition specifies that for reusable devices under this code, manufacturers must provide validated reprocessing instructions and reprocessing validation data in their 510(k) submissions to mitigate infection risks.

While NAY is the classic code for systems like the da Vinci, the FDA has introduced several other specialized product codes to categorize surgical robotics based on their configuration and mounting. These include:

  • SCV (Modular Electromechanical Surgical System): Used for modular systems with multiple, fully positionable patient/device interfaces used in minimally invasive surgery (e.g., Medtronic's Hugo RAS).
  • SAB (Table Mounted Miniaturized Electromechanical Surgical System): Used for compact, table-mounted, software-controlled electromechanical systems.
  • SDD (Electromechanical Surgical System – Sterile Field Interface): Used for systems where both the surgeon and the primary control interface can operate within the sterile field.
  • SAQ (Electromechanical System for Open Microsurgery): Used for systems designed for open microsurgical procedures without an integrated visualization system.

An analysis of the FDA 510(k) database shows a total of 164 clearances associated with product code NAY. The most striking characteristic of this product code is its extreme market concentration.

Clearance Share by Manufacturer

  • Intuitive Surgical, Inc. (including historical filings under Intuitive Surgical): 145 clearances (88.4% of all clearances)
  • Transenterix, Inc. (Senhance system): 9 clearances (5.5%)
  • Asensus Surgical, Inc. (formerly Transenterix): 6 clearances (3.7%)
  • Computer Motion, Inc. (acquired by Intuitive Surgical in 2003): 2 clearances (1.2%)
  • Aktormed GmbH: 2 clearances (1.2%)

The data highlights that Intuitive Surgical, the developer of the da Vinci surgical systems, has held a virtual monopoly on this product code for over two decades. Computer Motion was the pioneer behind the AESOP and ZEUS systems before its acquisition, while Transenterix (rebranded as Asensus) entered the market with the Senhance system as a rare direct competitor in the multi-port robotic space.


Despite the high clinical utility and precision of computer-assisted surgical systems, their structural, electrical, and software complexity makes them susceptible to safety issues. A search of the FDA recall database yields 246 recalls associated with product code NAY.

The recalls show a clear cyclical pattern, with two major waves occurring over the past two decades.

Year Number of Recalls Key Regulatory Context
2005 1 Early stage of da Vinci S system introduction
2006 1 -
2007 11 Expansion of robotic cardiac and urological procedures
2008 3 -
2009 1 -
2011 7 -
2012 9 -
2013 19 -
2014 47 First Major Recall Wave (da Vinci Si and Xi transition)
2015 24 Post-market corrective actions
2016 12 -
2017 19 -
2018 11 -
2019 9 -
2021 3 -
2022 7 -
2023 5 -
2024 42 Second Major Recall Wave (Sureform staplers & software)
2025 11 -
2026 3 Year-to-date (through June 2026)

Data Source: FDA Medical Device Recalls Database, extract dated 2026-06-10. Figures cover all recall events associated with the Class II device product code NAY; one record lacking a valid initiation date is omitted from the year breakdown, so the yearly counts sum to 245 of the 246 total events.

The first major peak in 2014 (47 recalls) coincided with the rollout of the da Vinci Xi system and corrections related to instrument arms, cannulas, and software updates for the da Vinci Si. The second peak in 2024 (42 recalls) was largely driven by corrections related to the Sureform 45 and Sureform 60 staplers, along with instrument arm drape tearing and software interface glitches.


Root Cause Analysis: Why Surgical Robots Fail

Unlike simpler surgical instruments where recalls are caused by material sterility or packaging defects, surgical robotic systems fail across multiple engineering disciplines. An analysis of the root causes for the 246 recalls under product code NAY reveals the following distribution:

[Device Design] ────────────────────────────────────────── 67 recalls
[Process Change Control] ────────────────────────────────── 41 recalls
[Nonconforming Material/Component] ────────────────────── 28 recalls
[Labeling Design] ──────────────────────────────────────── 22 recalls
[Process Control] ──────────────────────────────────────── 20 recalls
[Other / Under Investigation] ──────────────────────────── 68 recalls

1. Device Design (67 Recalls)

Design flaws represent the single largest root cause of surgical robot recalls. These failures typically manifest in tool tips (such as fundus graspers or Maryland dissectors) that break under mechanical stress, software algorithms that miscalculate kinematic limits, or instrument communication errors. Because these devices operate inside patient cavities, design margins for instrument tips must be exceptionally tight.

2. Process Change Control (41 Recalls)

Surgical robots are dynamic systems undergoing continuous software updates and manufacturing improvements. Process change control failures occur when a modification to a manufacturing process, component material, or software patch introduces unintended consequences. A common scenario is changing a polymer blend for a cannula or seal, which later exhibits premature degradation during repeated hospital sterilization cycles.

3. Nonconforming Material or Components (28 Recalls)

These recalls arise from supplier quality issues. Given that surgical robots utilize high-performance motors, optical cables, and microelectronic circuits, any drift in supplier quality—such as a batch of out-of-specification drapes or sterile barriers—can trigger a class-wide recall.

4. Labeling and Instructions (22 Recalls)

Errors in the Instructions for Use (IFU)—particularly around cleaning, disinfection, and steam sterilization parameters—frequently lead to recalls. Because these systems are highly reusable, incorrect cleaning protocols can lead to bioburden accumulation, sparking FDA enforcement actions.


Key Regulatory Takeaways for Manufacturers

For medical device companies developing computer-assisted surgical platforms (such as those under product codes NAY, SCV, or SAB), the NAY recall and clearance history yields three critical lessons:

  1. Reprocessing is a Major Hurdle: The FDA enforces strict standards on reprocessing validations for reusable robotic instruments. The complex joints and lumens of endoscopic tools must be demonstrably cleanable.
  2. Robust Design Controls for Instrument Tips: Tips must withstand repeated stress without fracturing. Design verification must simulate real-world surgical forces, including off-axis loading.
  3. Change Management is High Risk: Every software update or manufacturing tweak must undergo a thorough risk assessment (ISO 14971) and verification to ensure it does not compromise existing system controls.

Disclaimer: This article is for educational and informational purposes only. It does not constitute legal, regulatory, or engineering advice for any specific medical device product or submission.