医学中的人工智能：未来的挑战。
Artificial intelligence in medicine: the challenges ahead.
作者信息
Coiera E W
机构信息
Hewlett-Packard Research Laboratories, Stoke-Gifford, Bristol, UK.
出版信息
J Am Med Inform Assoc. 1996 Nov-Dec;3(6):363-6. doi: 10.1136/jamia.1996.97084510.
Abstract
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.
摘要
医学人工智能（AIM）的现代研究已有25年历史。在此期间，该领域吸引了许多顶尖的计算机科学家，他们的工作堪称一项卓越成就。然而，如果以对医学实践产生影响来评判成功与否，那么AIM尚未取得成功。近期AIM的许多工作都聚焦于内部，解决医学和人工智能这两个母学科交叉领域的问题。现在，AIM必须凭借已获得的见解向前迈进，专注于为医学实践核心问题寻找解决方案。医学领域对循证医学日益重视，应为这一转变提供合适的环境。
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