Retrospective Analysis of Adverse Incidents in Robotic Surgery over 14 Years Using FDA Data

This study reviews 14 years of adverse events data from the Food and Drug Administration (FDA) related to robotic surgery. The findings highlight the importance of responsible AI governance, particularly in critical applications like healthcare, where safe and secure AI is crucial for harm prevention.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.570, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.556, rank 2. TAIM detail and related incidents →
MANAGE 1.4 — similarity 0.553, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/5

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.