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Challenges and Ethical Considerations to Successfully Implement Artificial Intelligence in Clinical Medicine and Neuroscience: a Narrative Review.
Monteith, Scott; Glenn, Tasha; Geddes, John R; Achtyes, Eric D; Whybrow, Peter C; Bauer, Michael.
Afiliação
  • Monteith S; Department of Psychiatry, Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, MI, USA.
  • Glenn T; ChronoRecord Association, Fullerton, CA, USA.
  • Geddes JR; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
  • Achtyes ED; Department of Psychiatry, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA.
  • Whybrow PC; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA, USA.
  • Bauer M; Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Pharmacopsychiatry ; 56(6): 209-213, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37643732
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Médicos / Medicina Clínica Limite: Humans Idioma: En Revista: Pharmacopsychiatry Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Médicos / Medicina Clínica Limite: Humans Idioma: En Revista: Pharmacopsychiatry Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos