AI may help clinicians monitor nonadherence in patients with glaucoma, according to a speaker at the American Glaucoma Society annual meeting.
Siamak Yousefi, PhD, said that nonadherence is common in patients with glaucoma due to factors related to the disease itself, such as it being asymptomatic and slow to progress, as well as treatment, including complex regimens, cost and difficulty instilling drops.
“There are system-level drivers as well, including poor follow-up tracking and essentially no tracking at all in most of the cases,” he said. “Fragmented care, just 2 to 3 minutes of