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A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality.
Wu, Hongkang; Jin, Kai; Yip, Chee Chew; Koh, Victor; Ye, Juan.
Afiliação
  • Wu H; Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Jin K; Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Yip CC; Department of Ophthalmology & Visual Sciences, Khoo Teck Puat Hospital, Singapore, Singapore.
  • Koh V; Department of Ophthalmology, National University Hospital, National University of Singapore, Singapore.
  • Ye J; Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: yejuan@zju.edu.cn.
Surv Ophthalmol ; 69(4): 499-507, 2024.
Article em En | MEDLINE | ID: mdl-38492584
ABSTRACT
Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of ophthalmology. Nevertheless, there is a lack of systematic studies on the health economics of AI in this field. We examine studies from the PubMed, Google Scholar, and Web of Science databases that employed quantitative analysis, retrieved up to July 2023. Most of the studies indicate that AI leads to cost savings and improved efficiency in ophthalmology. On the other hand, some studies suggest that using AI in healthcare may raise costs for patients, especially when taking into account factors such as labor costs, infrastructure, and patient adherence. Future research should cover a wider range of ophthalmic diseases beyond common eye conditions. Moreover, conducting extensive health economic research, designed to collect data relevant to its own context, is imperative.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Oftalmopatias Limite: Humans Idioma: En Revista: Surv Ophthalmol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Oftalmopatias Limite: Humans Idioma: En Revista: Surv Ophthalmol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China