Expectations for Artificial Intelligence (AI) in Psychiatry

Overview

Journal Curr Psychiatry Rep

Publisher Current Science

Specialty Psychiatry

Date 2022 Oct 10

PMID 36214931

Authors

Scott Monteith

Tasha Glenn

John Geddes

Peter C Whybrow

Eric Achtyes

Michael Bauer

Affiliations

Soon will be listed here.

Abstract

Purpose Of Review: Artificial intelligence (AI) is often presented as a transformative technology for clinical medicine even though the current technology maturity of AI is low. The purpose of this narrative review is to describe the complex reasons for the low technology maturity and set realistic expectations for the safe, routine use of AI in clinical medicine.

Recent Findings: For AI to be productive in clinical medicine, many diverse factors that contribute to the low maturity level need to be addressed. These include technical problems such as data quality, dataset shift, black-box opacity, validation and regulatory challenges, and human factors such as a lack of education in AI, workflow changes, automation bias, and deskilling. There will also be new and unanticipated safety risks with the introduction of AI. The solutions to these issues are complex and will take time to discover, develop, validate, and implement. However, addressing the many problems in a methodical manner will expedite the safe and beneficial use of AI to augment medical decision making in psychiatry.

Citing Articles

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