AI/ML in Precision Medicine: A Look Beyond the Hype

被引:0
|
作者
Zhiheng Xu
Bipasa Biswas
Lin Li
Billy Amzal
机构
[1] U.S. Food and Drug Administration,
[2] PharmaLex,undefined
[3] Inc,undefined
[4] Quinten Health,undefined
[5] Inc,undefined
关键词
AI; ML; Precision medicine; Bias; Data quality;
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学科分类号
摘要
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, especially in drug discovery, digital imaging, disease diagnostics, genetic testing, and optimal care pathway (personalized care). However, the potential uses and benefits of AI/ML applications need to be distinguished from hype. In the 2022 American Statistical Association Biopharmaceutical Section Regulatory-Industry Statistical Workshop, we convened a panel of experts from FDA and industry to talk about the challenges of successfully applying AI/ML in precision medicine and how to overcome those challenges. This paper provides a summary and expansion on the topics discussed in the panel: the application of AI/ML, bias, and data quality.
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页码:957 / 962
页数:5
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