Literature DB >> 32996664

Mapping out the philosophical questions of AI and clinical practice in diagnosing and treating mental disorders.

Susanne Uusitalo1,2, Jarno Tuominen3,4, Valtteri Arstila2,5.   

Abstract

How to classify the human condition? This is one of the main problems psychiatry has struggled with since the first diagnostic systems. The furore over the recent editions of the diagnostic systems DSM-5 and ICD-11 has evidenced it to still pose a wicked problem. Recent advances in techniques and methods of artificial intelligence and computing power which allows for the analysis of large data sets have been proposed as a possible solution for this and other problems in classification, diagnosing, and treating mental disorders. However, mental disorders contain some specific inherent features, which require critical consideration and analysis. The promises of AI for mental disorders are threatened by the unmeasurable aspects of mental disorders, and for this reason the use of AI may lead to ethically and practically undesirable consequences in its effective processing. We consider such novel and unique questions AI presents for mental health disorders in detail and evaluate potential novel, AI-specific, ethical implications.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  diagnosis; medical ethics; philosophy of medicine; progress

Year:  2020        PMID: 32996664     DOI: 10.1111/jep.13485

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  2 in total

1.  Humans, machines and decisions: Clinical reasoning in the age of artificial intelligence, evidence-based medicine and Covid-19.

Authors:  Michael Loughlin; Samantha Marie Copeland
Journal:  J Eval Clin Pract       Date:  2021-04-23       Impact factor: 2.431

Review 2.  Psychiatric Advance Directives and Artificial Intelligence: A Conceptual Framework for Theoretical and Ethical Principles.

Authors:  Stéphane Mouchabac; Vladimir Adrien; Clara Falala-Séchet; Olivier Bonnot; Redwan Maatoug; Bruno Millet; Charles-Siegfried Peretti; Alexis Bourla; Florian Ferreri
Journal:  Front Psychiatry       Date:  2021-01-22       Impact factor: 4.157

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.