Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/51916, first published
.

Journals
- Serrano D, Luciano F, Anaya B, Ongoren B, Kara A, Molina G, Ramirez B, Sánchez-Guirales S, Simon J, Tomietto G, Rapti C, Ruiz H, Rawat S, Kumar D, Lalatsa A. Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine. Pharmaceutics 2024;16(10):1328 View
- Wang Y, Zhu T, Zhou T, Wu B, Tan W, Ma K, Yao Z, Wang J, Li S, Qin F, Xu Y, Tan L, Liu J, Wang J. Hyper-DREAM, a Multimodal Digital Transformation Hypertension Management Platform Integrating Large Language Model and Digital Phenotyping: Multicenter Development and Initial Validation Study. Journal of Medical Systems 2025;49(1) View
- Wang Q, Huo X, Cui J, Li J, Bai X, Wu C, Zhang Q, Sun D, Zhao J. Systematic evaluation of patient-reported outcomes in clinical trials of digital health in cardiovascular diseases. npj Digital Medicine 2025;8(1) View
- Karnik A, Yang E. Artificial Intelligence to Improve Blood Pressure Control: A State-of-the-Art Review. American Journal of Hypertension 2025;38(8):519 View
- Bojic I, Ong Q, Ito S, Liu J, Lawate A, Palaiyan M, Nair E, Lwin M, Theng Y, Chia M, Lee C, Abisheganaden J, Car J. AI-empowered health coaching for university students: A mixed-method process evaluation. Computers in Biology and Medicine 2025;194:110271 View
- Gupta A, Gupta V, Ojha A. Transforming Cardiovascular Health: An Emerging Role of Biomarkers, Artificial Intelligence-Driven Imaging, and Digital-Based Technologies. Diabetes Technology and Obesity Medicine 2025;1(1):316 View
- Al Fraidan A. AI language and emotional support as a physician assistant in hypertension management: an N-of-1 case study on virtual encouragement and blood pressure control. Humanities and Social Sciences Communications 2025;12(1) View
- Skalidis I, Maurizi N, Salihu A, Fournier S, Cook S, Iglesias J, Laforgia P, D’Angelo L, Garot P, Hovasse T, Neylon A, Unterseeh T, Champagne S, Amabile N, Sayah N, Sanguineti F, Akodad M, Lu H, Antiochos P. Artificial Intelligence and Advanced Digital Health for Hypertension: Evolving Tools for Precision Cardiovascular Care. Medicina 2025;61(9):1597 View
- Hallock R, Mehta N, Patel N, Ganesan N, Kang C, Pulis M, Rose J. Harnessing Artificial Intelligence for Obesity Care: A Systematic Review of AI-Enabled Behavioral Coaching Platforms, Outcomes, and Ethical Implications. Current Cardiovascular Risk Reports 2025;19(1) View
- Khan N, Deshpande N, Singh P, Kadam P. A review of AI-based health prediction using apple watch and fitbit data. Discover Applied Sciences 2025;7(10) View
- Deligiannis A, Sotiriou P, Deligiannis P, Kouidi E. The Role of Artificial Intelligence in Exercise-Based Cardiovascular Health Interventions: A Scoping Review. Journal of Functional Morphology and Kinesiology 2025;10(4):409 View
- Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2025 View
- Sami A, Ashraf R, Nisar S, Mustehsan Z, Javed M, Ozsahin D, Waheed Y. A comprehensive narrative review on precision medicine approach to hypertension: exploring the role of genetics, epigenetics, microbiome, and artificial intelligence. Journal of Health, Population and Nutrition 2025;44(1) View
- Ni X, Xue H, Fan L, Li M, Yang J, Du W. Network meta analysis of contributions by different healthcare practitioners in digital self care for hypertension. npj Digital Medicine 2025;8(1) View
- Fundoiano-Hershcovitz Y, Breuer Asher I, D Ritholz M, L Horwitz D, Manejwala O, Levi C, Goldstein P. The Impact of Digital Intervention Messages Targeting Users With High Blood Pressure Events: Retrospective Real-World Study. JMIR Cardio 2025;9:e76275 View
Books/Policy Documents
- Gao M, Oliva A, Merhan R. The First Steps of Artificial Intelligence in Cardiology. View
Conference Proceedings
- Krishna B, Bell B. 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). AI-based Dietary Monitoring and Biometric Health Prediction View
