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A retrospective study of FDA adverse event reports from 2000 to 2013 identified 144 deaths and 1,391 injuries associated with robotic surgical systems. Malfunctions included electrical arcing, mechanical breakage, and unintended instrument movements, highlighting safety and reliability concerns in robotic-assisted surgery.
Study on database reports of robotic surgery malfunctions (8,061), including those ending in injury (1,391) and death (144), between 2000 and 2013.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
Also classified as
Some adverse events were associated with operator errors and the use of the system in highly complex procedures where surgical teams lacked sufficient expertise.
The incident involves a high volume of technical failures, hardware breakages, electrical arcing, and system errors where the robotic system failed to perform reliably under clinical conditions.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The physical harms and deaths resulted from unintentional technical malfunctions and uncontrolled actions of the robotic surgical system during active clinical deployment.
Added categories peak at 2: Minor (Psychological Harm, Inferred)
A retrospective study of robotic surgical systems in the US from 2000 to 2013 identified 144 deaths and 1,391 injuries linked to technical malfunctions. While representing a serious public health and safety issue, the incident has minor national security implications as it involves localized medical accidents under human control rather than adversarial threats or systemic infrastructure failures.
The robotic surgical system acts as an assistant that augments the surgeon's physical capabilities, providing steady and precise movements under direct human control and oversight.
High Risk: The system is an AI-assisted medical device used in healthcare, which directly impacts patient safety and physical well-being.
The primary function of the surgical robot is to perform precise physical manipulation of surgical instruments inside a patient's body under the guidance of a surgeon.
The analysis is based on a structured retrospective study of 14 years of FDA MAUDE database records, providing clear, quantified data on deaths, injuries, and malfunctions that are cross-verified across multiple reports.
Some events classified as device malfunctions might have involved human operator error or standard surgical complications not directly caused by the robot.
Technology
Uncontrolled Instrument Movement
Unintended movements of robotic arms injured 52 and killed 2 patients.
Electrical Arcing and Sparking
Electrical sparks emitted by robots burned 193 patients during surgery.
Video Feed and System Errors
Loss of video feed and system errors caused procedure interruptions.
Data Inputs
Underreported Adverse Events
Incomplete counting and recording errors in FDA database hide true risk.
Incomplete Incident Details
Vast majority of reports only state 'malfunction' without detailed causes.
Human Factors
Lack of Robotic Expertise
Less robotic experience in complex cardiothoracic and head/neck surgeries.
Operator Error
Surgical team errors contributed to a portion of the adverse events.
Inadequate System Training
Lack of uniform standards for surgical team training on robotic systems.
Process and Methods
Poor Incident Investigation
Lack of robust accident investigation and reporting mechanisms.
Complex Surgical Procedures
High complexity of certain surgeries increases the likelihood of errors.
Inadequate Safety Design
Lack of safety-based design techniques in the robotic systems.
Management
Aggressive Technology Marketing
Direct-to-consumer marketing misled public on robotic superiority.
Slow Safety Improvements
Constant accident rates suggest failure to iron out system problems.
Regulatory Environment
Voluntary Reporting Flaws
Reliance on voluntary reporting leads to underestimation of incident rates.
Lack of Uniform Standards
No standard regulations for surgical team training and system operation.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
