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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76557, first published .
AI interface on tablet displaying human anatomy and DNA helix

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;26(1) View
  7. Fung M. Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare. Medical Review 2026;6(1):14 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
  9. Ansari M, Kumar S, Belal Bin Heyat M, Umair T, Akhtar F, Parveen S, Saeed S, Li J. Lung Cancer in the New Era: Trends, Innovations, and Future Recommendations. WIREs Data Mining and Knowledge Discovery 2026;16(1) View
  10. Naliyatthaliyazchayil P, Stenerson T. Harmonizing Logical Observation Identifiers Names and Codes (LOINC) Codes and Units in Real-World Oncology Data: Method Development and Evaluation. JMIR Medical Informatics 2026;14:e81254 View
  11. Geyer J, Gong J, Cox P, Henderson-Mitchell R, Gomez C, Qureshi A, Branch S, Geisser S, Carney P. Bridging Data, Semantics, and Clinical Reasoning: A Knowledge Graph Framework for Pediatric Obstructive Sleep Apnea. Children 2026;13(5):602 View
  12. Biswas B, Munquad S, Roy Choudhury K, Cherayil B, Chaudhuri A. Applications of artificial intelligence in systemic lupus erythematosus: integrating multi-omics data for precision medicine. Frontiers in Immunology 2026;17 View
  13. Magwenzi S. Beyond Single Biomarkers: Multimodal Machine Learning for Precision Medicine Across Clinical Specialties. Journal of Precision Medicine and Artificial Intelligence 2026 View
  14. Li X, Wu Z, Fang T, Li J, Li D, Zhang X, Liu L, Wang L. AI and network biology for rational polypharmacology in signaling drug design: a review. npj Precision Oncology 2026;10(1) View
  15. Zhang Y, Niu B, Xu W, Hua Y, Xia D. Artificial intelligence reshaping the gout diagnosis and treatment paradigm. Journal of Pharmaceutical Analysis 2026:101702 View
  16. Thengilan S, Venuturumilli R, Sen N, Solanki O, Sambhav K, Mohsin N. Diagnostic Approaches to Cardiac Arrhythmias: Integrating Electrocardiography and Advanced Monitoring. Cureus 2026 View
  17. Pujari J, Bikku T, Singamaneni K, Ranjani A, Ide N, Thota S. A hybrid framework for pill identification using convolutional neural networks and optical character recognition. Discover Artificial Intelligence 2026;6(1) View

Books/Policy Documents

  1. Venkatesh U, Santhosh V, Mittal M. Multimodal AI in Healthcare. View
  2. Tahir F, Iqbal J, Aziz-ur-Rehman , Alsarra I. Advancing Integrative Medicine Through Medical Intelligence. View

Conference Proceedings

  1. Kaur R, Kukreja S. 2026 2nd International Conference on Big Data & Machine Learning (ICBDML). Reducing Bias in Skin Image Analysis for Pre-Diabetes Prediction Using Multimodal Transformers View
  2. Zhang M. Proceedings of the 2026 International Conference on Artificial Intelligence in Education Technology and Data Science. Research on the Design of Health Education Products Integrating Multimodal Interaction View