Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence
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, saf...
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| Format: | Article |
| Language: | zho |
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Chinese General Practice Publishing House Co., Ltd
2024-04-01
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| Series: | Zhongguo quanke yixue |
| Subjects: | |
| Online Access: | https://www.chinagp.net/fileup/1007-9572/PDF/20230668.pdf |
| _version_ | 1827289256776695808 |
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| author | LEI Fang, DU Liang, DONG Min, LIU Xuemei |
| author_facet | LEI Fang, DU Liang, DONG Min, LIU Xuemei |
| author_sort | LEI Fang, DU Liang, DONG Min, LIU Xuemei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T11:47:37Z |
| format | Article |
| id | doaj.art-0da0d71fb0a74631a94fd6a186f7b08f |
| institution | Directory Open Access Journal |
| issn | 1007-9572 |
| language | zho |
| last_indexed | 2024-04-24T11:47:37Z |
| publishDate | 2024-04-01 |
| publisher | Chinese General Practice Publishing House Co., Ltd |
| record_format | Article |
| series | Zhongguo quanke yixue |
| spelling | doaj.art-0da0d71fb0a74631a94fd6a186f7b08f2024-04-09T09:17:35ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722024-04-0127101267127010.12114/j.issn.1007-9572.2023.0668Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial IntelligenceLEI Fang, DU Liang, DONG Min, LIU Xuemei01. West China Medical Publishers of West China Hospital, Sichuan University, Chengdu 610041, China;2. Clinical Trials Center for Artificial Intelligence Medical Device, West China Hospital, Sichuan University, Chengdu 610041, China;3. Medical Device Regulatory Research and Evaluation Center, West China Hospital, Sichuan University, Chengdu 610041, China;4. Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, ChinaWith 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.https://www.chinagp.net/fileup/1007-9572/PDF/20230668.pdfartificial intelligence|decision support systems, clinical|early-stage clinical evaluation|decide-ai|transparency |
| spellingShingle | LEI Fang, DU Liang, DONG Min, LIU Xuemei Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence Zhongguo quanke yixue artificial intelligence|decision support systems, clinical|early-stage clinical evaluation|decide-ai|transparency |
| title | Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence |
| title_full | Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence |
| title_fullStr | Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence |
| title_full_unstemmed | Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence |
| title_short | Transparent Reporting of the Early-stage Clinical Evaluation of Clinical Decision Support Systems Based on Artificial Intelligence |
| title_sort | transparent reporting of the early stage clinical evaluation of clinical decision support systems based on artificial intelligence |
| topic | artificial intelligence|decision support systems, clinical|early-stage clinical evaluation|decide-ai|transparency |
| url | https://www.chinagp.net/fileup/1007-9572/PDF/20230668.pdf |
| work_keys_str_mv | AT leifangduliangdongminliuxuemei transparentreportingoftheearlystageclinicalevaluationofclinicaldecisionsupportsystemsbasedonartificialintelligence |