AI-Enabled TruDi Navigation System Was Alleged to Have Contributed to Patient’s Stroke During May 2023 Sinuplasty

Patient Donna Fernihough allegedly suffered carotid-artery damage and a same-day stroke during a May 19, 2023 balloon sinuplasty in Texas in which surgeon Marc Dean reportedly used Acclarent's AI-enabled TruDi Navigation System. Her lawsuit alleged the system's AI-assisted navigation contributed to unsafe guidance during the procedure; Acclarent and Integra LifeSciences, which later acquired Acclarent, denied evidence linking TruDi's AI to the injuries.

Risk classification

• Primary risk domain: 7 AI system safety, failures, & limitations
• Primary risk subdomain: 7.3 Lack of capability or robustness

The incident was caused by the AI system failing to perform reliably, specifically by misidentifying instrument locations and providing inaccurate navigation feedback during critical medical procedures.

Additional risk subdomains

• 6.5 Governance failure: The FDA struggled to regulate AI-enabled devices due to staff layoffs and regulatory loopholes that allowed AI updates without clinical trials.
• 5.1 Overreliance and unsafe use: Surgeons relied on the AI navigation system to confirm instrument positions during high-stakes surgeries, leading to severe injuries when the system failed.

Causal factors

• Entity: AI
• Intent: Unintentional
• Timing: Post-deployment

The physical harms were caused by the TruDi AI system providing inaccurate navigation data during active surgeries, which was an unintended failure of the deployed system.

EU AI Act risk tier

• Risk tier: 2 High Risk

High Risk: The system is an AI-enhanced medical device used in healthcare surgeries, which has significant implications for patient safety and is subject to stringent regulatory requirements.

AI system and alleged parties

• AI system: TruDi Navigation System (Acclarent)
• AI purpose: Navigation Assistant; Medical Diagnosis Support
• Behaviour type: Assistant
• Alleged developer: Integra LifeSciences, AI-enabled surgical navigation system developers, AI-enabled healthcare system developers, Acclarent
• Alleged deployer: Surgical teams using TruDi Navigation System, Marc Dean
• Alleged harmed parties: Surgical patients, Patients undergoing AI-guided procedures, Patients, Donna Fernihough, Balloon sinuplasty patients

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Substantial. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Substantial, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Negligible, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Negligible, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Physical

Reported: The reports explicitly describe severe physical injuries to multiple patients during surgeries.

Directly caused: At least 10 people were injured, with reported cases of cerebrospinal fluid leaks, a punctured skull base, damaged carotid arteries, blood clots, and at least two strokes requiring intensive care and partial skull removal.

People affected

• Occurrences reported: 100
• People reportedly harmed: 10
• People reportedly exposed: 100

Potential causes

Management

• AI Used as Marketing Tool: Management prioritized marketing novel technology over ensuring patient safety.
• Rushed Commercialization: Acclarent rushed the software update to market despite unresolved issues.

Technology

• Inaccurate Path Calculations: The ML algorithm was inconsistent and had an accuracy goal of only 80%.
• Inconsistent Navigation Feedback: The software misidentified anatomy and misled surgeons on instrument locations.

Human Factors

• Over-reliance on AI Guidance: Surgeons trusted the system's location data despite incorrect positioning.
• Inadequate Warning Response: Warnings from consulting surgeon about system issues were reportedly ignored.

Process and Methods

• Lowered Safety Standards: Acclarent rushed the technology to market with low accuracy goals.
• Lack of Clinical Trial Testing: FDA regulations did not require clinical trials for this AI-enabled device.

Regulatory Environment

• Outdated Regulatory Framework: FDA's traditional approach is not designed to ensure AI safety.
• Severe FDA Staffing Cuts: DOGE budget cuts laid off key AI scientists, doubling reviewer workloads.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide detailed accounts of the medical device, the specific injuries, the regulatory context (FDA), and the lawsuits. While the causal link between the AI and the injuries is legally disputed by the manufacturer, the factual reporting of the events and the regulatory challenges is robust.
• Ambiguities identified: The exact causal role of the AI algorithm in the surgical errors is unconfirmed by the FDA and disputed by the manufacturer.
• Alternative interpretations: The injuries could be interpreted as standard surgical complications unrelated to the AI navigation software, as argued by the manufacturer.

The incident involves physical injuries to patients due to malfunctions in an AI-enabled surgical navigation system. While highlighting critical regulatory challenges for the FDA in assessing AI medical devices, the incident remains a localized public safety and product liability issue with negligible direct implications for national security.

• Overall national security impact: Negligible
• Scope: Single nation
• Primary target: United States
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. The incident represents an ongoing regulatory and technological safety challenge rather than an active national security crisis.
• Autonomy: Human-supervised. The AI system operates as a navigation assistant, providing guidance while the surgeon maintains direct control of the physical instruments.
• Novelty: Evolved capability. While medical device malfunctions are established risks, the integration of machine learning introduces evolved failure modes in real-time surgical tracking.

Impact by dimension

• Physical security: Negligible. The incident involves localized medical device failures affecting individual patients, with no impact on critical infrastructure, military assets, or national physical security.
• Information security: Negligible. There is no evidence of information warfare, intelligence compromise, or systematic data manipulation associated with this medical device malfunction.
• Sovereignty: Negligible. While the incident highlights resource constraints within the FDA, it does not threaten state sovereignty, territorial integrity, or core government functions.
• Economic security: Negligible. The event represents a commercial product liability and regulatory issue rather than a threat to strategic national industries or economic stability.
• Societal stability: Negligible. The incident does not involve mass surveillance, systematic discrimination, or threats to population-scale social cohesion.