Artificial Intelligence in Medicine: Where Are We Now?

被引：137
|
作者：
Kulkarni, Sagar [1 ,2 ]
Seneviratne, Nuran [3 ]
Baig, Mirza Shaheer [2 ]
Khan, Ameer Hamid Ahmed [2 ]
机构：
[1] Hosp Univ Penn, Dept Radiol, 3400 Spruce St, Philadelphia, PA 19104 USA
[2] Barts & London Queen Marys Sch Med & Dent, London, England
[3] Princess Alexandra Hosp NHS Trust, Dept Geriatr Med, Harlow, Essex, England
来源：
ACADEMIC RADIOLOGY | 2020年 / 27卷 / 01期
关键词：
Artificial intelligence; Deep learning; Radiology; Pathology; Ophthalmology; Dermatology; Review; CENTRAL-NERVOUS-SYSTEM; DIABETIC-RETINOPATHY; CLASSIFICATION; PERFORMANCE; DERMATOLOGY; VALIDATION; CHALLENGES; ALGORITHM; PATHOLOGY;
D O I：
10.1016/j.acra.2019.10.001
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive structure for the discerning observer. In this article, we will provide an up-to-date review of artificial intelligence in medicine, with a specific focus on its application to radiology, pathology, ophthalmology, and dermatology. We will discuss a range of selected papers that illustrate the potential uses of artificial intelligence in a technologically advanced future.
引用
收藏
页码：62 / 70
页数：9
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