A study showed moderate agreement between GPT-4 and retina specialists in assessing need for treatment and urgency of treatment in patients with diabetic retinopathy, according to a poster presentation at Real World Ophthalmology.
Because diabetic retinopathy (DR) cases are on the rise and patient wait times can be long, language model (LM)-based patient prioritization tools (PPTs) could help support the prioritization decision process, Jericho Morcilla and co-authors wrote.
As a proof of principle for a broader applicability of LM-based PPTs, the study compared the patient priority ratings