Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76557, first published .
Multimodal Integration in Health Care: Development With Applications in Disease Management

Multimodal Integration in Health Care: Development With Applications in Disease Management

Multimodal Integration in Health Care: Development With Applications in Disease Management

Journals

  1. Wang M, Chang W, Zhang Y. Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges. MedComm 2025;6(11) View
  2. Pendyala V, Kapadia M, Periyapatnaroopakumar B, Anandani M, Nagendran N. A Big Data Pipeline Approach for Predicting Real-Time Pandemic Hospitalization Risk. Algorithms 2025;18(12):730 View
  3. Hachad L, Hachad T, Louragli I. Towards a robust healthcare prediction model using an adaptive multimodal fusion based on hierarchical transformers. BIO Web of Conferences 2025;200:01022 View
  4. Bharath M, Singh Raman R, Alankar A. The role of protein content in body fluids in magnesium alloy bioimplant degradation: A machine learning approach. Progress in Materials Science 2026;158:101636 View
  5. Пожарский Р, Петрова Е. Подход к построению распределённой аналитической платформы для мультимодальных медицинских данных. МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 2025;13(4(51)) View
  6. Ucdal M, Yurtsever K, Ekingen E. Multidisciplinary artificial intelligence systems versus single-model approaches for the diagnosis and management of ileus and volvulus. BMC Gastroenterology 2026 View
  7. Fung M. Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare. Medical Review 2026 View
  8. Garg S, Kitchen R, Gupta R, Trucco E, Pearson E. Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models. JMIR Diabetes 2026;11:e82635 View