Artificial intelligence for age-related macular degeneration diagnosis in Australia: A Novel Qualitative Interview Study.

Journal: Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Published Date: Jun 14, 2025

Abstract

INTRODUCTION: Artificial intelligence (AI) systems for age-related macular degeneration (AMD) diagnosis abound but are not yet widely implemented. AI implementation is complex, requiring the involvement of multiple, diverse stakeholders including technology developers, clinicians, patients, health networks, public hospitals, private providers and payers. There is a pressing need to investigate how AI might be adopted to improve patient outcomes. The purpose of this first study of its kind was to use the AI translation extended version of the non-adoption, abandonment, scale-up, spread and sustainability of healthcare technologies framework to explore stakeholder experiences, attitudes, enablers, barriers and possible futures of digital diagnosis using AI for AMD and eyecare in Australia.

Authors

  • Angelica Ly
    School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
  • Sarita Herse
    School of Management and Governance, UNSW Business School, Sydney, New South Wales, Australia.
  • Mary-Anne Williams
    School of Management and Governance, UNSW Business School and UNSW AI Institute, Sydney, New South Wales, Australia.
  • Fiona Stapleton
    School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.

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