AI for glaucoma, Are we reporting well? a systematic literature review of DECIDE-AI checklist adherence.

Journal: Eye (London, England)
PMID: 39966602

Abstract

BACKGROUND/OBJECTIVES: This systematic literature review examines the quality of early clinical evaluation of artificial intelligence (AI) decision support systems (DSS) reported in glaucoma care. Artificial Intelligence applications within glaucoma care are increasing within the literature. For such DSS, there needs to be standardised reporting to enable faster clinical adaptation. In May 2022, a checklist to facilitate reporting of early AI studies (DECIDE-AI) was published and adopted by the EQUATOR network.

Authors

  • Benedict Leonard-Hawkhead
    Centre for Public Health Queens University Belfast, Belfast, UK. bleonardhawkhead01@qub.ac.uk.
  • Bethany E Higgins
    Optometry and Visual Sciences, School of Health Sciences, City, University of London, London, UK.
  • David Wright
    AstraZeneca, Cambridge, UK;
  • Augusto Azuara-Blanco
    Centre for Public Health Queens University Belfast, Belfast, UK.

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