Ramadan fasting (RF) presents unique clinical challenges for individuals with diabetes, increasing the need for tailored management strategies. Artificial intelligence (AI) tools may enhance safety and personalize care, but physician readiness for adoption remains unclear. This exploratory cross-sectional online survey published in the Journal of Diabetes and Endocrine Practice assessed doctors’ knowledge, attitudes, and practices regarding AI in Ramadan diabetes care.

Between July 18 and August 31, 2025, 134 doctors completed a structured questionnaire distributed through professional networks interested in RF. Respondents included 60.4% endocrinologists and 74.6% senior consultants. While 62.7% had received Ramadan-specific diabetes training, only 23.9% reported AI-related training. Familiarity was highest with continuous glucose monitoring tools (55.2%) and automated insulin delivery systems (35.1%), yet 38.8% indicated no knowledge of AI applications.

Although 73.9% agreed that AI could enhance safety during fasting, only 48.5% felt confident using AI for clinical decision-making. Reported barriers included affordability (59.7%), limited access (56.0%), and lack of training (54.5%). Over one-quarter perceived clinical benefits, and 69.4% expressed interest in AI training. Analyses were descriptive, and no hypothesis testing was conducted.

Doctors acknowledged AI’s potential to improve safety during Ramadan fasting but reported substantial training and access gaps. Structured education and improved accessibility were identified as priorities to support broader adoption.