Critical Malfunction of Autonomous Surgical Table During Anesthesia Induction and Its Impact on AI in Medicine: Case Report
Year: 2025
Type: article
Study design: Case Report
Abstract: BackgroundAlthough rare, medical device failures during surgical procedures can result in severe outcomes, including fatalities.The increasing use of autonomous medical technologies introduces new risks, particularly if external control mechanisms fail during a malfunction. Case PresentationA 54-year-old ASA I patient with obesity and a short neck was scheduled for elective facial plastic surgery under general anesthesia.During induction, the autonomous surgical table unexpectedly shifted into a Trendelenburg position and tilted laterally, placing the anesthetized patient at risk of falling.The surgical team promptly stabilized the patient and safely transferred them to another operating room.The procedure continued without further incident.Subsequent inspection by biomedical engineers revealed a malfunction in the table's sealed integrated circuit, which caused the autonomous movements. DiscussionThis case highlights the intersection of patient safety, obesity-related anesthetic risk, and the emerging challenges of autonomous surgical systems.While AI integration in healthcare offers significant benefits, it also introduces new vulnerabilities.Device malfunction, whether from design flaws, maintenance lapses, or software failure, can pose immediate threats in high-stakes environments.As intelligent automation advances, robust safety protocols, human oversight, and ethical frameworks must evolve in parallel to mitigate risks and ensure patient-centered care. ConclusionThis case underscores the critical need to reassess the safety protocols surrounding autonomous surgical devices.As AI technologies become more integrated into healthcare, even minor malfunctions can lead to significant perioperative risks.Ongoing vigilance, robust device management, and proactive safety frameworks are essential to mitigate hazards and uphold patient safety in an increasingly automated clinical environment.
Language: English
Subfield: Medical Laboratory Technology
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4414618242
FWCI:
Cites:
Cited by:
Related to: