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An AI detected glaucoma more accurately than doctors in a study, potentially improving early diagnosis.
An AI system outperformed human experts in detecting glaucoma, correctly identifying the condition in 88% to 90% of cases compared to 79% to 81% for doctors, according to a study presented at the American Academy of Ophthalmology’s 2024 meeting.
The AI analyzed over 6,300 participants using the vertical cup-disc ratio, a key sign of eye damage from fluid pressure, and performed well even though only 11% of eyes showed glaucoma signs—reflecting real-world screening rates.
Researchers say AI could improve access to early detection, especially in underserved areas, and may become more accurate when combined with other risk factors.
Findings are preliminary and await peer review.
Una IA detectó el glaucoma con mayor precisión que los médicos en un estudio, lo que potencialmente mejora el diagnóstico precoz.