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Clinical Applications of Artificial Intelligence-An Updated Overview.
Busnatu, Ștefan; Niculescu, Adelina-Gabriela; Bolocan, Alexandra; Petrescu, George E D; Paduraru, Dan Nicolae; Nastasa, Iulian; Lupușoru, Mircea; Geanta, Marius; Andronic, Octavian; Grumezescu, Alexandru Mihai; Martins, Henrique.
Afiliação
  • Busnatu Ș; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Niculescu AG; Department of Science and Engineering of Oxide Materials and Nanomaterials, Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 011061 Bucharest, Romania.
  • Bolocan A; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Petrescu GED; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Paduraru DN; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Nastasa I; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Lupușoru M; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Geanta M; Centre for Innovation in Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Andronic O; "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
  • Grumezescu AM; Department of Science and Engineering of Oxide Materials and Nanomaterials, Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 011061 Bucharest, Romania.
  • Martins H; Research Institute of the University of Bucharest-ICUB, University of Bucharest, 050657 Bucharest, Romania.
J Clin Med ; 11(8)2022 Apr 18.
Article em En | MEDLINE | ID: mdl-35456357
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article