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Review
. 2025 Jan 1;36(1):35-38.
doi: 10.1097/ICU.0000000000001111. Epub 2024 Nov 27.

Artificial intelligence in ophthalmology

Ava S Khossravi  1 , Qingyu Chen  1   2 , Ron A Adelman  1   2   3
Affiliations
Review

Artificial intelligence in ophthalmology

Ava S Khossravi et al. Curr Opin Ophthalmol. .

Abstract

Purpose of review: To review role of artificial intelligence in medicine.

Recent findings: Artificial intelligence is continuing to revolutionize access, diagnosis, personalization of medicine, and treatment in healthcare. As a matter of fact, artificial intelligence contributed to the research that resulted in 2024 Nobel Prizes in physics, chemistry, and economics. We are only at the tip of the iceberg in utilizing the abilities of artificial intelligence in medicine to improve accuracy of diagnoses and to enhance patient outcomes. Artificial intelligence has allowed better image analysis, prediction of progression of disease, personalized treatment plans, incorporations of genomics, and improved efficiency in care and follow-up utilizing home monitoring. In ocular health diagnosis and treatment of diabetic retinopathy, macular degeneration, glaucoma, corneal infections, and ectasia are only a few examples of how the power of artificial intelligence has been harnessed. Even though there are still challenges that need more work in the areas of patient privacy, Health Insurance Portability and Accountability Act (HIPAA) compliance, reliability, and development of regulatory frameworks, artificial intelligence has revolutionized and will continue to revolutionize medicine.

Summary: Artificial intelligence is enhancing medical diagnosis and treatment, as well as access and prevention. Ocular imaging, visual outcome, optics, intraocular pressure, and data points will continue to see growth it the field of artificial intelligence.

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