Challenges and Ethical Considerations to Successfully Implement Artificial Intelligence in Clinical Medicine and Neuroscience: a Narrative Review

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Scott Monteith - , Michigan State University College of Human Medicine (MSUCHM) (Author)
  • Tasha Glenn - , ChronoRecord Association (Author)
  • John R Geddes - , University of Oxford (Author)
  • Eric D Achtyes - , Western Michigan University Homer Stryker M.D. School of Medicine (WMed) (Author)
  • Peter C Whybrow - , University of California at Los Angeles (Author)
  • Michael Bauer - , Department of Psychiatry and Psychotherapy (Author)

Abstract

This narrative review discusses how the safe and effective use of clinical artificial intelligence (AI) prediction tools requires recognition of the importance of human intelligence. Human intelligence, creativity, situational awareness, and professional knowledge, are required for successful implementation. The implementation of clinical AI prediction tools may change the workflow in medical practice resulting in new challenges and safety implications. Human understanding of how a clinical AI prediction tool performs in routine and exceptional situations is fundamental to successful implementation. Physicians must be involved in all aspects of the selection, implementation, and ongoing product monitoring of clinical AI prediction tools.

Details

Original languageEnglish
Pages (from-to)209-213
Number of pages5
JournalPharmacopsychiatry
Volume56
Issue number6
Publication statusPublished - Nov 2023
Peer-reviewedYes

External IDs

Scopus 85170850713
ORCID /0000-0002-2666-859X/work/150883556

Keywords

Keywords

  • Artificial Intelligence, Clinical Medicine, Humans, Knowledge, Physicians