Artificial intelligence in dermatology and healthcare: An overview

被引:19
|
作者
Pai, Varadraj Vasant [1 ]
Pai, Rohini Bhat [2 ]
机构
[1] Goa Med Coll, Dept Dermatol Venereol & Leprosy, Bambolim, Goa, India
[2] Goa Med Coll, Dept Anaesthesiol, Bambolim, Goa, India
来源
INDIAN JOURNAL OF DERMATOLOGY VENEREOLOGY & LEPROLOGY | 2021年 / 87卷 / 04期
关键词
Artificial intelligence; deep learning; dermatology; machine learning; medical imaging; COMPUTER-AIDED DIAGNOSIS; PIGMENTED SKIN-LESIONS; LASER HAIR REMOVAL; FUTURE; IMAGES; SEGMENTATION; DERMOSCOPY; RECOMMENDATIONS; CLASSIFICATION; VALIDATION;
D O I
10.25259/IJDVL_518_19
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Many aspects of our life are affected by technology. One of the most discussed advancements of modern technologies is artificial intelligence. It involves computational methods which in some way mimic the human thought process. Just like other branches, the medical field also has come under the ambit of artificial intelligence. Almost every field in medicine has been touched by its effect in one way or the other. Prominent among them are medical diagnosis, medical statistics, robotics, and human biology. Medical imaging is one of the foremost specialties with artificial intelligence applications, wherein deep learning methods like artificial neural networks are commonly used. artificial intelligence application in dermatology was initially restricted to the analysis of melanoma and pigmentary skin lesions, has now expanded and covers many dermatoses. Though the applications of artificial intelligence are ever increasing, large data requirements, interpretation of data and ethical concerns are some of its limitations in the present day.
引用
收藏
页码:457 / 467
页数:11
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