AI-enabled clinical decision support tools for mental healthcare: A product review

Kleine, Anne-Kathrin ; Kokje, Eesha ; Hummelsberger, Pia; Lermer, Eva ; Schaffernak, Insa und Gaube, Susanne (Februar 2025): AI-enabled clinical decision support tools for mental healthcare: A product review. In: Artificial Intelligence in Medicine, Bd. 160, 103052

Abstract

The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decision Support Systems (AI-CDSS) for mental healthcare. From 84 potential products, seven fulfilled the inclusion criteria. The products can be categorized into three major areas: diagnosis of autism spectrum disorder (ASD) based on clinical history, behavioral, and eye-tracking data; diagnosis of multiple disorders based on conversational data; and medication selection based on clinical history and genetic data. We found five scientific articles evaluating the devices' performance and external validity. The average completeness of reporting, indicated by 52 % adherence to the Consolidated Standards of Reporting Trials Artificial Intelligence (CONSORT-AI) checklist, was modest, signaling room for improvement in reporting quality. Our findings stress the importance of obtaining regulatory approval, adhering to scientific standards, and staying up-to-date with the latest changes in the regulatory landscape. Refining regulatory guidelines and implementing effective tracking systems for AI-CDSS could enhance transparency and oversight in the field.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Psychologie und Pädagogik > Department Psychologie
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 09333657
• Sprache: Englisch