滞后
临床试验
循证医学
替代医学
透视图(图形)
医学
大流行
2019-20冠状病毒爆发
启发式
2019年冠状病毒病(COVID-19)
精密医学
计算机科学
数据科学
人工智能
病理
疾病
传染病(医学专业)
爆发
出处
期刊:Nature Medicine
[Springer Nature]
日期:2023-01-01
卷期号:29 (1): 49-58
被引量:268
标识
DOI:10.1038/s41591-022-02160-z
摘要
Recently, advances in wearable technologies, data science and machine learning have begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of next-generation 'deep' medicine. Despite stunning advances in basic science and technology, clinical translations in major areas of medicine are lagging. While the COVID-19 pandemic exposed inherent systemic limitations of the clinical trial landscape, it also spurred some positive changes, including new trial designs and a shift toward a more patient-centric and intuitive evidence-generation system. In this Perspective, I share my heuristic vision of the future of clinical trials and evidence-based medicine.
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