Artificial intelligence in medicine: The challenges ahead

被引:35
作者
Coiera, EW
机构
[1] Hewlett-Packard Res. Laboratories, Bristol
[2] Hewlett-Packard Res. Laboratories, Stoke-Gifford, Bristol BS12 6QZ, Filton Road
关键词
D O I
10.1136/jamia.1996.97084510
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change.
引用
收藏
页码:363 / 366
页数:4
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