Clinical Applications of Artificial Intelligence—An Updated Overview

Journal of Clinical Medicine

Marius Geantă¹  Adelina-Gabriela Niculescu²  Alexandru Mihai Grumezescu²  Henrique Martins³  Alexandra Bolocan⁴  Ștefan Busnatu⁴  George E. D. Petrescu⁴  Dan Nicolae Păduraru⁴  Iulian Năstasă⁴  Octavian Andronic⁴  Mircea Lupușoru⁴ 

[1] Centre for Innovation in Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;Department of Science and Engineering of Oxide Materials and Nanomaterials, Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 011061 Bucharest, Romania;Faculty of Health Sciences, Universidade da Beira Interior, 6200-506 Covilha, Portugal;“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;

关键词: artificial intelligence;    machine learning;    deep learning;    clinical applications;    precision medicine;    personalized medicine;   

DOI  :  10.3390/jcm11082265

来源: DOAJ

【 摘 要 】

Artificial intelligence has the potential to revolutionize modern society in all its aspects. Encouraged by the variety and vast amount of data that can be gathered from patients (e.g., medical images, text, and electronic health records), researchers have recently increased their interest in developing AI solutions for clinical care. Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most appropriate treatment for an individual patient. In this respect, the present paper aims to review the advancements reported at the convergence of AI and clinical care. Thus, this work presents AI clinical applications in a comprehensive manner, discussing the recent literature studies classified according to medical specialties. In addition, the challenges and limitations hindering AI integration in the clinical setting are further pointed out.

【 授权许可】

Unknown