Artificial intelligence in service of medicine

Bratislava Medical Journal

article

O. El-Hassoun¹  L. Maruscakova²  Z. Valaskova³  M. Bucova²  S. Polak¹  I. Hulin⁴ 

[1] Institute Of Histology and Embryology, Faculty of medicine, Comenius University;Institute of Immunology, Faculty of Medicine, Comenius University;Institute of Pathophysiology, Faculty of Medicine, Comenius University;Faculty of Medicine, Comenius University

关键词: algorithms;    artificial intelligence;    image recognition;    neural networks;    predictive analysis;   

DOI  :  10.4149/BLL_2019_028

学科分类：医学（综合）

来源: AEPress, s.r.o.

【 摘 要 】

The race to make the dream of artificial intelligence a reality comes parallel with the increasing struggle of health care systems to cope with information overload and translational pressure. It is clear that a shift in the way data is generated requires a shift in the way they are processed. This is where AI comes with great promises to solve the problem of volume versus applicability of information in science. In medicine, AI is showing exponential progress in the fields of predictive analysis and image recognition. These promises however, come with an intricate package of ethico-social, scientific and economic implications, towards which a reductionist approach leads to distorted and dramatic predictions. All this, in a time when the growing pressure on healthcare systems towards defensive medicine begs the question of the true need for AI for good medical practice. This article examines the concept and achievements of AI and attempts to offer a complex view on the realistic expectations from it in medicine, in the context of current practice (Ref. 38).

【 授权许可】

CC BY