As AI becomes more integrated into neurosurgical care, questions about physician liability, patient consent and data privacy are becoming increasingly important, according to an article published in the Fall 2026 issue of CNS Quarterly.
AI is appearing in clinical documentation, imaging analysis, scheduling and early decision-support systems. The authors write that the technology is moving quickly while policies governing its use are still developing.
The article highlights legal concerns about ambient documentation tools, including recent litigation alleging that patient-provider conversations were recorded and processed without adequate consent. The authors say patients deserve meaningful transparency when AI is listening, summarizing or influencing their care.
The authors also warn of automation bias. As AI becomes embedded in workflows, physicians may feel pressure to justify disagreeing with a model, even when it is poorly validated or used outside its intended context.
The authors write that legal scholarship continues to place responsibility for medical decision-making on the treating physician. They say health systems need clear policies on which tools may be used, what data may be shared, how vendors are evaluated and how performance is monitored. The article points to Coalition for Health AI guidance emphasizing local validation, monitoring and governance structures adaptable to individual health systems.
Despite these risks, the authors say AI could reduce documentation burden, help identify patients at higher risk for complications and flag vulnerable patients who might otherwise be lost to follow-up. They argue that neurosurgeons should help build systems worthy of patient trust.
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