AI may estimate BCVA from fundus photographs in eyes with diabetic macular edema

Artificial intelligence may be able to estimate the best corrected visual acuity of patients with diabetic macular edema from fundus photographs, according to a study.
“This investigation found that AI can estimate BCVA directly from color fundus photographs of patients with DME, often within 1 to 2 lines on an ETDRS chart,” the study authors wrote. “These findings support use of AI systems to estimate BCVA using this method for patients undergoing anti-VEGF treatment of DME without refraction or subjective VA measurements.”
The authors used deidentified color fundus