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Practical NeurologyMedical-Legal Issues Related to the Use of Generative Artificial Intelligence in Neurology Clinics

⚖️ Legal / Ethical Complexity

The article reviews the growing use of generative AI tools such as large language models in neurology and distinguishes them from traditional FDA-regulated diagnostic AI systems. Unlike conventional tools that operate within validated and narrowly defined tasks, generative AI systems may produce non-deterministic outputs and hallucinations, creating unique clinical, legal, and documentation challenges. The authors emphasize that responsibility for AI-assisted clinical decisions remains with the physician.


Professional Impact

  • Current FDA oversight largely applies to traditional AI-enabled medical devices rather than general-purpose generative AI systems used at the point of care.
  • Physicians retain a nondelegable duty of care, meaning generative AI recommendations do not transfer liability to technology vendors.
  • HIPAA compliance and Business Associate Agreements remain critical considerations before patient information is entered into AI platforms.
  • Documentation of AI-assisted review and independent clinician verification may provide important legal protection as standards evolve.
  • The article highlights hallucination risk, particularly involving causal reasoning, temporal reasoning, fabricated references, and inaccurate clinical information.
  • Professional organizations currently characterize generative AI as an assistive technology rather than an autonomous clinical decision-maker.

Action Items

  • Maintain independent clinical judgment when reviewing AI-generated content.
  • Verify diagnostic suggestions, medication information, references, and patient-facing communications before use.
  • Ensure AI tools used with patient data satisfy institutional privacy and compliance requirements.
  • Document AI-assisted review and clinician verification when relevant to patient care decisions.
  • Monitor specialty society guidance, regulatory developments, and institutional AI governance policies.
  • Use AI as a support tool for summarization, documentation, and information synthesis rather than a replacement for clinical reasoning.
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