Ethics of Artificial Intelligence in Medicine and Ophthalmology.

Journal: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Published Date: May 13, 2025

Abstract

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in medicine and in ophthalmology. AI, which was first introduced in the 1950s, is defined as "the machine simulation of human mental reasoning, decision making, and behavior". The increased power of computing, expansion of storage capacity, and compilation of medical big data helped the AI implementation surge in medical practice and research. Ophthalmology is a leading medical specialty in applying AI in screening, diagnosis, and treatment. The first Food and Drug Administration approved autonomous diagnostic system served to diagnose and classify diabetic retinopathy. Other ophthalmic conditions such as age-related macular degeneration, glaucoma, retinopathy of prematurity, and congenital cataract, among others, implemented AI too.

Authors

  • Yasser Ibraheem Abdullah
    Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY.
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Ridwan Shabsigh
    SBH Health System and Weill Cornell Medical College, New York, NY.
  • Arthur Caplan
    Department of Population Health, NYU Langone Health, NYU Grossman School of Medicine, New York, NY.
  • Lama A Al-Aswad
    Columbia University Medical Center, Harkness Eye Institute, New York, New York, USA. Electronic address: laa2003@cumc.columbia.edu.

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