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Application of artificial intelligence in medical technologies: A systematic review of main trends.
Bitkina, Olga Vl; Park, Jaehyun; Kim, Hyun K.
Afiliação
  • Bitkina OV; Department of Industrial and Management Engineering, Incheon National University, Incheon, Korea.
  • Park J; Department of Industrial and Management Engineering, Incheon National University, Incheon, Korea.
  • Kim HK; School of Information Convergence, Kwangwoon University, Seoul, Korea.
Digit Health ; 9: 20552076231189331, 2023.
Article em En | MEDLINE | ID: mdl-37485326
ABSTRACT

Objective:

Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI can lead to positive and negative effects. This is a multilateral analytical literature review aimed at identifying the main branches and trends in the use of using artificial intelligence in medical technologies.

Methods:

The total number of literature sources reviewed is n = 89, and they are analyzed based on the literature reporting evidence-based guideline PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for a systematic review.

Results:

As a result, from the initially selected 198 references, 155 references were obtained from the databases and the remaining 43 sources were found on open internet as direct links to publications. Finally, 89 literature sources were evaluated after exclusion of unsuitable references based on the duplicated and generalized information without focusing on the users.

Conclusions:

This article is identifying the current state of artificial intelligence in medicine and prospects for future use. The findings of this review will be useful for healthcare and AI professionals for improving the circulation and use of medical AI from design to implementation stage.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Digit Health Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Digit Health Ano de publicação: 2023 Tipo de documento: Article