ArticleAnnals of biomedical engineering2024
Enhancing Diabetes Self-management and Education: A Critical Analysis of ChatGPT's Role.
Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- Efficacy of ChatGPT in personalized glucose-lowering strategy development: a clinician-based comparative study.Frontiers in endocrinology · 2026Article
- Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening.BMC medical informatics and decision making · 2025Article
- ChatGPT Applications in Nursing: Current Status and Future Perspectives.Nursing open · 2025Review
- Large Language Models as a Consulting Hotline for Patients With Breast Cancer and Specialists in China: Cross-Sectional Questionnaire Study.JMIR medical informatics · 2025Article
- Prospects and perils of ChatGPT in diabetes.World journal of diabetes · 2025Article
- Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice.Scientific reports · 2025Article
- Development of a questionnaire for assessing the use of ChatGPT in primary and secondary disease prevention.Frontiers in public health · 2025Article
- Insights Into Sociodemographic Influences on Type 2 Diabetes Care and Opportunities for Digital Health Promotion in Port Harcourt, Nigeria: Quantitative Study.JMIR diabetes · 2024Article
- Using ChatGPT to promote college students' participation in physical activities and its effect on mental health.World journal of psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
ChatGPT, an advanced natural language processing model, holds significant promise in diabetes self-management and education. ChatGPT excels in providing personalized educational experiences by tailoring information to meet individual patient needs and preferences. It aids patients in developing self-management skills and strategies, fostering proactive disease management. Additionally, ChatGPT addresses healthcare access disparities by enabling patients to access educational resources irrespective of their geographic location or physical limitations. However, it is important to acknowledge and address the deficiencies of ChatGPT, such as its limited medical expertise, contextual understanding, and emotional support capabilities. Strategies for optimizing ChatGPT include regular training and updating, integration of healthcare professionals' expertise, improvement in contextual comprehension, and enhancing emotional support. By addressing these limitations and striking a balance between the benefits and limitations, ChatGPT can play a significant role in empowering patients to better understand and manage diabetes. Further research and development are needed to refine ChatGPT's capabilities and address ethical considerations, but its integration in patient education holds the potential to transform healthcare delivery and create a more informed and engaged patient population.
Indexed as
Identifiers
37553556What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.