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The testing of AI in medicine is a mess. Here's how it should be done.

作者信息

Lenharo Mariana

出版信息

Nature. 2024 Aug;632(8026):722-724. doi: 10.1038/d41586-024-02675-0.

DOI:10.1038/d41586-024-02675-0
PMID:39169244
Abstract
摘要

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Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.人工智能干预随机对照试验与 CONSORT-AI 报告指南的一致性。
Nat Commun. 2024 Feb 22;15(1):1619. doi: 10.1038/s41467-024-45355-3.
2
Analysis of Devices Authorized by the FDA for Clinical Decision Support in Critical Care.美国食品药品监督管理局批准用于重症监护临床决策支持的设备分析
JAMA Intern Med. 2023 Dec 1;183(12):1399-1401. doi: 10.1001/jamainternmed.2023.5002.
3
Paying for artificial intelligence in medicine.
在重症监护病房使用神经网络预测结果。
World J Clin Cases. 2025 Apr 16;13(11):100966. doi: 10.12998/wjcc.v13.i11.100966.
4
"The Machine Will See You Now": A Clinician's Perspective on Artificial "Intelligence" In Clinical Care.“机器现在将为您服务”:临床医生对临床护理中人工智能的看法。
Mov Disord Clin Pract. 2025 May;12(5):588-591. doi: 10.1002/mdc3.70054. Epub 2025 Mar 20.
5
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model.医疗保健领域人工智能的监管:以《临床实验室改进修正案》(CLIA)为范例
J Am Med Inform Assoc. 2025 Feb 1;32(2):404-407. doi: 10.1093/jamia/ocae296.
为医学人工智能付费。
NPJ Digit Med. 2022 May 20;5(1):63. doi: 10.1038/s41746-022-00609-6.
4
Assessment of Machine Learning-Based Medical Directives to Expedite Care in Pediatric Emergency Medicine.基于机器学习的医疗指令在儿科急诊医学中的应用评估。
JAMA Netw Open. 2022 Mar 1;5(3):e222599. doi: 10.1001/jamanetworkopen.2022.2599.
5
Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.人工智能心电图识别低射血分数患者的效果:一项实用、随机临床试验。
Nat Med. 2021 May;27(5):815-819. doi: 10.1038/s41591-021-01335-4. Epub 2021 May 6.
6
Hypotension Prediction Index for Prevention of Hypotension during Moderate- to High-risk Noncardiac Surgery.低血压预测指数预防中高危非心脏手术期间的低血压。
Anesthesiology. 2020 Dec 1;133(6):1214-1222. doi: 10.1097/ALN.0000000000003557.
7
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.涉及人工智能干预的临床试验方案指南:SPIRIT-AI 扩展。
Nat Med. 2020 Sep;26(9):1351-1363. doi: 10.1038/s41591-020-1037-7. Epub 2020 Sep 9.
8
Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.机器学习衍生的术中低血压预警系统与标准护理对择期非心脏手术期间术中低血压深度和持续时间的影响:HYPE 随机临床试验。
JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592.