Kleine, Anne-Kathrin;
Kokje, Eesha;
Hummelsberger, Pia;
Lermer, Eva;
Schaffernak, Insa;
Gaube, Susanne;
(2025)
AI-enabled clinical decision support tools for mental healthcare: A product review.
Artificial Intelligence in Medicine
, 160
, Article 103052. 10.1016/j.artmed.2024.103052.
Preview |
PDF
(Kleine et al., 2025).pdf - Accepted Version Download (1MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | AI-enabled clinical decision support tools for mental healthcare: A product review |
| Location: | Netherlands |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.artmed.2024.103052 |
| Publisher version: | https://doi.org/10.1016/j.artmed.2024.103052 |
| Language: | English |
| Additional information: | © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Artificial intelligence, Mental healthcare, Clinical decision support, Medical device regulation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10204612 |
Loading...
Loading...Loading...| 1. |  United Kingdom | 5 |
| 2. |  Norway | 2 |
| 3. |  Finland | 1 |
| 4. |  Australia | 1 |
| 5. |  Sweden | 1 |
Archive Staff Only
 |
View Item |
