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CC BY 4.0 · Journal of Diabetes and Endocrine Practice 2026; 09(01): 012-019
DOI: 10.1055/s-0045-1813653
Original Article

Doctors' Perceptions of Artificial Intelligence in Managing Diabetes during Ramadan: An Exploratory Cross-Sectional Survey

Autor*innen

  • Salem A. Beshyah 

    1   Department of Medicine, College of Medicine, Dubai Medical University, Dubai, UAE
    2   Department of Medicine, Bareen International Hospital, MBZ, Abu Dhabi, UAE

Funding and Sponsorship None.
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Abstract

Background

Ramadan fasting (RF) presents unique challenges for people with diabetes. Artificial intelligence (AI) has the potential to enhance safety and personalize care, but little is known about doctors' readiness to adopt such tool in this context.

Objectives

This article explores doctors' knowledge, attitudes, and practices regarding the use of AI in managing diabetes during Ramadan.

Materials and Methods

An online exploratory cross-sectional survey of a convenience sample of 134 doctors was conducted between July 18 and August 31, 2025, using a structured questionnaire distributed through professional networks interested in RF. Items assessed demographics, familiarity with AI, clinical attitudes, and perceived barriers to the use of AI. Descriptive analyses were performed; no hypothesis testing was undertaken.

Results

Of 134 respondents, 60.4% were endocrinologists and 74.6% were senior consultants. While 62.7% had received Ramadan-specific diabetes training, only 23.9% had training in AI. Familiarity was highest with continuous glucose monitoring tools (55.2%) and automated insulin delivery systems (35.1%), yet 38.8% reported no knowledge of AI applications. Although 73.9% agreed AI could enhance safety during fasting, only 48.5% felt confident using AI for decision-making. Barriers included affordability (59.7%), limited access (56.0%), and lack of training (54.5%). Over a quarter of respondents perceived clinical benefits. Most respondents (69.4%) expressed interest in AI training.

Conclusion

Doctors recognize AI's potential to support safe fasting but face substantial knowledge and training gaps. Structured education, improved access, and culturally sensitive integration are urgently needed to enable wider adoption of AI in Ramadan-focused diabetes care.

Keywords

artificial intelligence - diabetes mellitus - Ramadan fasting - physician attitudes - continuous glucose monitoring - clinical practice

Author's Contribution

Single author.


Compliance with Ethical Principles

The study was deemed to carry no hazard to participants. No formal ethical approval was sought. However, consent for voluntary participation on an anonymous basis was secured electronically before participants could access the survey questions.


Data Availability Statement

All data supporting the study can be made available in a deidentified format upon a reasonable request to the corresponding author.


Supplementary Material



Publikationsverlauf

Artikel online veröffentlicht:
21. November 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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