Artificial Intelligence in Diabetes Care and Prevention

Articles published in this theme: 78 (scroll down to load remaining articles)

2026

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Assessing Quality, Readability, and Transparency of Online and AI-Generated Information on Type 2 Diabetes Mellitus: Cross-Sectional Exploratory Study

Sripradha Srinivasan, Ravanth Baskaran, Srinjay Mukhopadhyay, Mayank Patel

JMIR Diabetes 2026 (Jul 15); 11:e93822

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An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

Thamra Al Ghafri, Saud Al Harthi, Asma Bait Ishaq, Rahma Al-Ghadani, Maryam Al Muaini, Ahmed Aljufaili, Mohamed Al Harb, Abdullah Al Saadi, Abdelhamid Abdessalem, Noushath Shaffi, Mohamed Ahmed, Said Jaboob, Nadia Al Maqbali, Moza Al-Shehhi, Talib Al Kalbani, Amal Al Shukaili, Jannat Al Harthi, Huwaida Al Harthi

JMIR Res Protoc 2026 (Jul 13); 15:e99626

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Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study

Hielke Muizelaar, Marcel Haas, Maarten van Aken, Rimke Vos, Marco Spruit

JMIR Med Inform 2026 (Jul 09); 14:e80377

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AI-Based Models for Diabetic Foot Ulcer Assessment: Scoping Review

Muhamad Zulfiqar, Saldy Yusuf, Muhammad Jufri Taming, Herlina Burhan

JMIR Diabetes 2026 (Jul 08); 11:e77925

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Prediction of Type 2 Diabetes Mellitus From Chest X-Rays Using a Suite of Previously Developed Chronic Disease Deep Learning Models in an Ethnically Diverse Cohort: Observational Study

Pola Lydia Lagari, Awais Farooq, Brian Thomas Layden, Ayis Pyrros, William Galanter

JMIR AI 2026 (Jul 03); 5:e85248

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Digital Twin Applications in Diabetes Management: Scoping Review

Fatemeh Sarani Rad, Maryam Jafarpour, Ehsan Bitaraf, Katayoon Khaleghdadi, Juan Li

JMIR Diabetes 2026 (Jun 18); 11:e83059

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Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation

Karthik V Sarma, Kaitlin E Hanss, Andrew J M Halls, Daniel F Becker, Anne L Glowinski, Andrew D Krystal

JMIR AI 2026 (Jun 08); 5:e83927

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Personalized Type 1 Diabetes Management: Reinforcement Learning–Based Insulin Dosing and Glucose Forecasting

Ernest M Taku, Vibhuti Gupta, Ashutosh Singhal

JMIR Diabetes 2026 (Jun 03); 11:e79195

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Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

Xiekun Chen, Zhifa Jiang, Dong Su, Xiaoping Chen, Aiping Chen, Zhen Zhang, Huabin Wang

JMIR Med Inform 2026 (May 25); 14:e85335

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Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial

Carmelo Betancort Acosta, Garlene Zamora Zamorano, María Luisa Álvarez Malé, Lilisbeth Perestelo-Perez, Alezandra Torres Castaño, Marit B Veierød, Kristina Reyes Suárez, Alejandro Déniz García, Eirik Årsand, Inger Torhild Gram, Maja-Lisa Løchen, Cristina Soguero-Ruiz, André Henriksen, Antonio J Rodríguez Almeida, Miroslav Muzny, Reetta Välimäki, Thomas Schopf, Himar Fabelo, Conceição Granja, Ana M Wägner

JMIR Res Protoc 2026 (May 22); 15:e84510

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An Explainable AI Tool (FibroX) for Detecting Advanced Liver Fibrosis in Adults With Type 2 Diabetes: Protocol for a Pilot Crossover Trial

Basile Njei, Ulrick Sidney Kanmounye

JMIR Res Protoc 2026 (May 21); 15:e90456

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Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

Doyoung Kwak, Xi Tan, Yuanjie Liang, Caroline Swift, Chalak Muhammad, Xu Shi

JMIR Diabetes 2026 (May 20); 11:e85372

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Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study

Qingrui Li, Kapileshwor Ray Amat, Eric L Johnson, Juan Li

JMIR Med Inform 2026 (Apr 21); 14:e87374

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Antidiabetic Drug Associations With Heart Failure Outcomes: Real-World Evidence Study Using Electronic Health Records

Elzbieta Jodlowska-Siewert, Yunhui Chen, Sinian Zhang, Jia Li, Robert Dellavalle, Rui Zhang, Jue Hou

JMIR Diabetes 2026 (Apr 15); 11:e85083

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Patient Perceptions of Artificial Intelligence in Diabetes Self-Management: Cross-Sectional Survey Study

Nataly Martini, Navneet Kaur Dhaliwal, Laszlo Sajtos, Shane Scahill, Elena Alipour

JMIR Form Res 2026 (Mar 16); 10:e83030

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Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Tong Zhou, Kun Yang, Ying Yang, Song-Mei Liu

JMIR Med Inform 2026 (Mar 12); 14:e83328

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Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes

Ayesha Thanthrige, Nilmini Wickramasinghe

JMIR Diabetes 2026 (Mar 12); 11:e80582

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AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework

Ghinwa Barakat, Samer El Hajj Hassan, Hanane Akhdar, Nghia Duong-Trung, Wiam Ramadan

JMIR AI 2026 (Mar 09); 5:e86960

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Using Textural Analysis of Thermal Imaging to Predict Healing Status of Diabetes-Related Neuropathic Foot Ulcers: Protocol for a Co-Design and Longitudinal Study

Kate Waller, Rajna Ogrin, Quoc Cuong Ngo, Barbara Polus, Samantha Hanna, Aye Nyein Tint, Richard J MacIsaac, Anna Galligan, Elif Ilhan Ekinci, Dinesh Kumar

JMIR Res Protoc 2026 (Feb 26); 15:e69793

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Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis

Flavia Maria G S A Oliveira, Sandro Muniz Cavalcanti, Michael C K Khoo

JMIR Diabetes 2026 (Feb 23); 11:e82084

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