

Treatment decisions for type 2 diabetes are complex and multifactorial. This study evaluated the utility of OpenAI’s generative pre-trained transformer-4 (GPT-4) large language model in enhancing treatment plans for people with diabetes. The authors assessed GPT-4’s ability to extract and critically evaluate diabetologist-developed treatment plans from patients’ clinical notes. GPT-4 accurately discerned personalized treatment goals but performed suboptimally when identifying plans that could be further improved and personalized. However, 40% of GPT-4’s reasoning and explanations were still considered helpful by experienced academic diabetologists, suggesting a potential broad benefit to less expert physicians, such as those in primary care settings.
Medical Journal
|15th Jan, 2026
|Nature Medicine's Advance Online Publication (AOP) table of contents.
Medical Journal
|15th Jan, 2026
|Wiley
Medical Journal
|15th Jan, 2026
|Wiley
Medical Journal
|15th Jan, 2026
|Wiley
Medical Journal
|15th Jan, 2026
|Wiley
Medical Journal
|15th Jan, 2026
|Wiley
Medical Journal
|15th Jan, 2026
|Wiley