Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.

The gap

Consensus across the literature

Supporting evidence — 8 representative gaps

• Artificial Intelligence in Medical Imaging: A Critical Review of Methods, Applications, and Clinical Implementation (2026) · doi

  The effective incorporation of AI systems into clinical practice will necessitate sustained collaboration between clinicians and engineers, the creation of equitable datasets for underrepresented pathologies, and real-world validation via regulatory processes and scalable frameworks.

  Keywords: effective incorporation systems clinical practice necessitate sustained collaboration clinicians engineers creation equitable datasets underrepresented pathologies
• Artificial intelligence for traumatic brain injury imaging: a translational review from algorithm development to clinical implementation (2026) · doi

  Need to systematically address barriers of technical robustness, regulatory requirements, economic constraints, and human factors to successfully translate AI into clinical practice.

  Keywords: need systematically address barriers technical robustness regulatory requirements economic constraints human factors successfully translate clinical
• Artificial Intelligence in Radiology: Unlocking New Dimensions of Value (2026) · doi

  The successful integration of AI in clinical practice will depend on careful consideration of both its promise and its limitations, as well as ongoing collaboration between technology developers and healthcare professionals.

  Keywords: successful integration clinical practice depend careful consideration promise limitations well ongoing collaboration technology developers healthcare
• FADOI official position on artificial intelligence in internal medicine (2026) · doi

  The paper proposes a model of AI integration grounded in clinical governance but lacks detailed implementation pathways for translating general AI principles into operational rules applicable to daily practice in complex clinical environments.

  Keywords: clinical proposes model integration grounded governance lacks detailed implementation pathways translating general principles operational rules
• FADOI official position on artificial intelligence in internal medicine (2026) · doi

  While the document addresses regulatory and ethical frameworks for AI in internal medicine, there is insufficient discussion of how to manage the cumulative burden of digital health technologies on physicians and patients in real-world settings.

  Keywords: document addresses regulatory ethical frameworks internal medicine there insufficient discussion manage cumulative burden digital health
• Artificial Intelligence in Medical Imaging: A Critical Review of Methods, Applications, and Clinical Implementation (2026) · doi

  Healthcare organizations should set rules for how AI systems should be used in clinical workflows to maintain clear accountability structures.

  Keywords: healthcare organizations rules systems used clinical workflows maintain clear accountability structures
• Micro-Replacement in Healthcare: How AI Decision Support Systems Invisibly Displace Human Clinical Judgment (2026) · doi

  Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.

  Keywords: liability legal frameworks organizations using clinical decision making processes require development clarification
• Photography Did Not Kill Painting: On Artificial Intelligence and the Future of Academic Medicine (2026) · doi

  Further details and guidelines for AI use in academic medicine will be prepared down the line, indicating current lack of formalized frameworks.

  Keywords: further details guidelines academic medicine prepared down line indicating current lack formalized frameworks