Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jun;27(3):478-484.
doi: 10.1111/jep.13485. Epub 2020 Sep 30.

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

Affiliations

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

Susanne Uusitalo et al. J Eval Clin Pract. 2021 Jun.

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.

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

PubMed Disclaimer

References

REFERENCES

    1. Institute for Health Metrics and Evaluation (IHME). Global health data exchange. http://www.healthdata.org/. Published 2018.
    1. Gustavsson A, Svensson M, Jacobi F, et al; CDBE2010Study Group. Cost of disorders of the brain in Europe 2010. Eur Neuropsychopharmacol 2011;21(10):718-779. doi:https://doi.org/10.1016/j.euroneuro.2011.08.008
    1. World Health Organization. Global Status Report on Noncommunicable Diseases 2010. Geneva: WHO Press; 2011.
    1. Topol E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books; 2019.
    1. Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731. https://doi.org/10.1038/s41551-018-0305-z.

MeSH terms

LinkOut - more resources