Artificial Intelligence in Medicine: Where Are We Now?

被引：164

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

页码：62 / 70

页数：9

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