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Synapse
February 10, 2026Radiography5 citationsOpen Access

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging

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MCM.T. ChauKSK.M. SpuurSWS R White

Key Points

  • The aim is to explore the legal and ethical frameworks surrounding the use of machine learning in medical imaging.
  • Examine clinical protocols for AI usage in medical imaging
  • Propose oversight expectations for AI outputs
  • Suggest documentation requirements for AI involvement
  • Analyze clinician-algorithm disagreements
  • Recommend training for critical review of AI outputs
  • Established protocols can potentially mitigate malpractice risks
  • Increased oversight may improve AI output accuracy
  • Documentation of AI roles enhances transparency
  • Training can reduce automation bias among clinicians

Abstract

Clinical protocols should specify approved use cases, oversight expectations, documentation of AI involvement, and management of clinician-algorithm disagreement. Training should support critical review of outputs to mitigate automation bias.

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Cite This Study

Chau et al. (2026) studied this question.

synapsesocial.com/papers/698acaad7c832249c30b9eddhttps://doi.org/10.1016/j.radi.2026.103339
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  5. 5Medical Custom and Medical Ethics: Rethinking the Standard of Care2005 · 5 citations