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Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence

Authors :
LEI Fang, DU Liang, DONG Min, LIU Xuemei
Source :
Zhongguo quanke yixue, Vol 27, Iss 10, Pp 1267-1270 (2024)
Publication Year :
2024
Publisher :
Chinese General Practice Publishing House Co., Ltd, 2024.

Abstract

With the wide application of artificial intelligence (AI) in the medical field, more and more AI-based clinical decision support systems have been applied in the clinical diagnosis, screening, and other fields. Early-stage clinical evaluation is important for evaluating the clinical performance, safety, and human factors of AI-based clinical decision support systems, and laying the foundation for large-scale trials. However, the transparency and integrity of the clinical reports need to be improved. The Developmental and Exploratory Clinical Investigations of DEcision Support Systems Driven by Artificial Intelligence (DECIDE-AI) was officially published online in May 2022. Based on this guideline and relative literature, this paper explores the transparent reporting of early-stage clinical evaluation of AI-based clinical decision support systems, in order to help developers and researchers better understand and apply the relevant guidelines, and improve the reporting transparency of early-stage clinical evaluation of AI-based clinical decision support systems.

Details

Language :
Chinese
ISSN :
10079572
Volume :
27
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Zhongguo quanke yixue
Publication Type :
Academic Journal
Accession number :
edsdoj.0da0d71fb0a74631a94fd6a186f7b08f
Document Type :
article
Full Text :
https://doi.org/10.12114/j.issn.1007-9572.2023.0668