Artificial Intelligence in Diabetes Care and Prevention

Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action

Jianwen Cai, Peiyi Li, Weimin Li, Xuechao Hao, Sheyu Li, Tao Zhu

JMIR Diabetes 2025 (Apr 08); 10:e70475

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Assessment and Intervention for Diabetes Distress in Primary Care Using Clinical and Technological Interventions: Protocol for a Single-Arm Pilot Trial

Marisa Kostiuk, Susan L Moore, E Seth Kramer, Joshua Felton Gilens, Ashwin Sarwal, David Saxon, John F Thomas, Tamara K Oser

JMIR Res Protoc 2025 (Mar 31); 14:e62916

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Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Anshul Chauhan, Anju Goyal, Ritika Masih, Gagandeep Kaur, Lakshay Kumar, ­ Neha, Harsh Rastogi, Sonam Kumar, Bidhi Lord Singh, Preeti Syal, Vishali Gupta, Luke Vale, Mona Duggal

JMIR Form Res 2025 (Mar 31); 9:e67047

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Applications of AI in Predicting Drug Responses for Type 2 Diabetes

Shilpa Garg, Robert Kitchen, Ramneek Gupta, Ewan Pearson

JMIR Diabetes 2025 (Mar 27); 10:e66831

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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis

Hocheol Lee, Myung-Bae Park, Young-Joo Won

JMIR Form Res 2025 (Jan 21); 9:e57874

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Effectiveness and Safety of the TRIO Optimal Health Management Program in Patients With Type 2 Diabetes Mellitus Initiating Basal Insulin Therapy: Prospective Observational Real-World Study

Chenxi Li, Lixin Guo, Lixin Shi, Li Chen, Liming Chen, Yaoming Xue, Hong Li, Yuzhen Liang, Jing Yang, Weimin Wang, Dalong Zhu

J Med Internet Res 2025 (Jan 13); 27:e67554

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Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study

Sermkiat Lolak, John Attia, Gareth J McKay, Ammarin Thakkinstian

JMIR Cardio 2025 (Jan 08); 9:e50627

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Lightening the Load: Generative AI to Mitigate the Burden of the New Era of Obesity Medical Therapy

Elizabeth R Stevens, Arielle Elmaleh-Sachs, Holly Lofton, Devin M Mann

JMIR Diabetes 2024 (Nov 14); 9:e58680

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Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Dingqiao Wang, Jiangbo Liang, Jinguo Ye, Jingni Li, Jingpeng Li, Qikai Zhang, Qiuling Hu, Caineng Pan, Dongliang Wang, Zhong Liu, Wen Shi, Danli Shi, Fei Li, Bo Qu, Yingfeng Zheng

J Med Internet Res 2024 (Nov 08); 26:e58041

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Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study

Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee

J Med Internet Res 2024 (Oct 03); 26:e56922

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Game-Based Assessment of Peripheral Neuropathy Combining Sensor-Equipped Insoles, Video Games, and AI: Proof-of-Concept Study

Antao Ming, Vera Clemens, Elisabeth Lorek, Janina Wall, Ahmad Alhajjar, Imke Galazky, Anne-Katrin Baum, Yang Li, Meng Li, Sebastian Stober, Nils David Mertens, Peter Rene Mertens

J Med Internet Res 2024 (Oct 01); 26:e52323

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Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa

Simon Arunga, Katharine Elise Morley, Teddy Kwaga, Michael Gerard Morley, Luis Filipe Nakayama, Rogers Mwavu, Fred Kaggwa, Julius Ssempiira, Leo Anthony Celi, Jessica E Haberer, Celestino Obua

JMIR Form Res 2024 (Sep 18); 8:e59914

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Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

Kolapo Oyebola, Funmilayo Ligali, Afolabi Owoloye, Blessing Erinwusi, Yetunde Alo, Adesola Z Musa, Oluwagbemiga Aina, Babatunde Salako

JMIRx Med 2024 (Sep 11); 5:e56993

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Implementation of Artificial Intelligence–Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study

Fares Antaki, Imane Hammana, Marie-Catherine Tessier, Andrée Boucher, Maud Laurence David Jetté, Catherine Beauchemin, Karim Hammamji, Ariel Yuhan Ong, Marc-André Rhéaume, Danny Gauthier, Mona Harissi-Dagher, Pearse A Keane, Alfons Pomp

JMIR Diabetes 2024 (Sep 03); 9:e59867

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A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

Devika Subramanian, Rona Sonabend, Ila Singh

JMIR Diabetes 2024 (Aug 07); 9:e53338

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AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study

Philip Fei Wu, Charlotte Summers, Arjun Panesar, Amit Kaura, Li Zhang

JMIR Hum Factors 2024 (Jul 23); 11:e51086

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A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies

Catherine McDonough, Yan Chak Li, Nita Vangeepuram, Bian Liu, Gaurav Pandey

JMIR Public Health Surveill 2024 (Jul 02); 10:e53330

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Generalization of a Deep Learning Model for Continuous Glucose Monitoring–Based Hypoglycemia Prediction: Algorithm Development and Validation Study

Jian Shao, Ying Pan, Wei-Bin Kou, Huyi Feng, Yu Zhao, Kaixin Zhou, Shao Zhong

JMIR Med Inform 2024 (May 24); 12:e56909

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Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning

Arash Khalilnejad, Ruo-Ting Sun, Tejaswi Kompala, Stefanie Painter, Roberta James, Yajuan Wang

JMIR Form Res 2024 (Apr 26); 8:e54373

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Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack: Protocol for a Pilot Hybrid Type 3 Effectiveness-Implementation Randomized Controlled Cluster Trial

Dipen Patel, Yamiko Joseph Msosa, Tao Wang, Julie Williams, Omar G Mustafa, Siobhan Gee, Barbara Arroyo, Damian Larkin, Trevor Tiedt, Angus Roberts, Richard J B Dobson, Fiona Gaughran

JMIR Res Protoc 2024 (Apr 05); 13:e49548

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