Where Medical Statistics Meets Artificial Intelligence

被引：47
作者：
Hunter, David J. [1 ]
Holmes, Christopher [2 ,3 ,4 ,5 ]
机构：
[1] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[2] Univ Oxford, Dept Stat, Oxford, England
[3] Univ Oxford, Nuffield Dept Med, Oxford, England
[4] Alan Turing Inst, London, England
[5] Univ Oxford, Dept Stat, 24-29 St Giles, Oxford OX1 3LB, England
来源：
NEW ENGLAND JOURNAL OF MEDICINE | 2023年 / 389卷 / 13期
关键词：
Emergency Medicine; Emergency Medicine General; Health Care Delivery; Health Policy; Medical Practice; Training; and Education; and Education General; Medical Statistics; Medical Statistics General; Pediatrics; Pediatrics General; Surgery; Surgery General;
D O I：
10.1056/NEJMra2212850
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Challenges at the interface of medical statistics and AI are population inference vs. prediction, generalizability, reproducibility and interpretation of evidence, and stability and statistical guarantees.
引用
收藏
页码：1211 / 1219
页数：9
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