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Digit Health July 2023 PMID 37434728

Medical artificial intelligence ethics: A systematic review of empirical studies.

Lu Tang, Jinxu Li, Sophia Fantus

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Abstract in brief

  • This systematic review analyzed 36 empirical studies from 2013 to 2022 on medical AI ethics, focusing on technologies, stakeholders, and ethical principles, revealing a gap between high-level ethical guidelines and actual research practices.
  • The studies primarily fell into three categories: exploring stakeholder knowledge and attitudes, testing factors influencing AI acceptance, and addressing bias correction in medical AI, highlighting ongoing efforts to understand ethical and social implications.
  • The review emphasizes the need to better integrate ethicists with AI developers, clinicians, and patients to align ethical principles with practical research and application in medical AI.
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Gac Ciencia Forense
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