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Extending artificial intelligence research in the clinical domain: a theoretical perspective.
Sabharwal, Renu; Miah, Shah J; Fosso Wamba, Samuel.
Afiliación
  • Sabharwal R; Newcastle Business School, The University of Newcastle, Callaghan, NSW Australia.
  • Miah SJ; Newcastle Business School, The University of Newcastle, Callaghan, NSW Australia.
  • Fosso Wamba S; TBS Business School, Toulouse, France.
Ann Oper Res ; : 1-32, 2022 Nov 08.
Article en En | MEDLINE | ID: mdl-36407943
Academic research to the utilization of artificial intelligence (AI) has been proliferated over the past few years. While AI and its subsets are continuously evolving in the fields of marketing, social media and finance, its application in the daily practice of clinical care is insufficiently explored. In this systematic review, we aim to landscape various application areas of clinical care in terms of the utilization of machine learning to improve patient care. Through designing a specific smart literature review approach, we give a new insight into existing literature identified with AI technologies in the clinical domain. Our review approach focuses on strategies, algorithms, applications, results, qualities, and implications using the Latent Dirichlet Allocation topic modeling. A total of 305 unique articles were reviewed, with 115 articles selected using Latent Dirichlet Allocation topic modeling, meeting our inclusion criteria. The primary result of this approach incorporates a proposition for future research direction, abilities, and influence of AI technologies and displays the areas of disease management in clinics. This research concludes with disease administrative ramifications, limitations, and directions for future research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Ann Oper Res Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Ann Oper Res Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos