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Digital Health Reviews (3454) Decision Support for Health Professionals (2073) Machine Learning (2991) Artificial Intelligence (4452) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (257) Applications of AI (807)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73374, first published .
Two scientists analyze AI brain scan data on a tablet and screen.

Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review

Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review

Authors of this article:

Yushu Liu1, 2 Author Orcid Image ;   Chenxi Liu1, 2 Author Orcid Image ;   Jianing Zheng1, 2 Author Orcid Image ;   Chang Xu3 Author Orcid Image ;   Dan Wang4, 5, 6 Author Orcid Image
Article Authors Cited by (30) Tweetations Metrics

Journals

  1. Aldhafeeri F. Governing Artificial Intelligence in Radiology: A Systematic Review of Ethical, Legal, and Regulatory Frameworks. Diagnostics 2025;15(18):2300 View
  2. Majumdar P. Navigating the Speed-Quality Trade-off in AI-Driven Decision-Making. American Journal of Information Science and Technology 2025;9(3):225 View
  3. Eskandar K. Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions. iLIVER 2025;4(4):100205 View
  4. de Souza Jr. F, Aliaga Jr. J, Duarte Jr. P, Crispilho S, Delfino C, Brandão D, Zamprogno e Silva F. From Semantic Modeling to Precision Radiotherapy: An AI Framework Linking Radiobiology, Oncology, and Public Health Integration. Biomedicines 2025;13(12):2862 View
  5. E. Altyar A, Jaffar Mantargi M, M. Ibrahim S, Sabbagh S, A. Hussein H, Al Zoabi B, Albaik M. A Thematic Analysis of Professional Gaps, Experiences, and Systemic Challenges in Integrating Artificial Intelligence in Healthcare. Salud, Ciencia y Tecnología 2026;6:2640 View
  6. Yang X, Xiao Y, Liu D, Deng H, Huang J, Zhou Y, Liang M, Dong L, Yuan Z, Yao J, Guo W, Xu C. Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study. Journal of Medical Internet Research 2025;27:e84918 View
  7. Chang L, Li H, Wu W, Liu X, Yan J, Chen Z, Wu H, Song S. Applications of artificial intelligence in non–small cell lung cancer: from precision diagnosis to personalized prognosis and therapy. Journal of Translational Medicine 2025;24(1) View
  8. Wu C, Wu Y, Chen K. An applied study on the implementation of a multimodal explainable artificial intelligence system in long-term care institutions. International Journal of Research in Business and Social Science (2147- 4478) 2026;14(10):40 View
  9. Raziee R, Sadeghi-Naini M, Azadmanjir Z. Development of a neural network system for predicting in-hospital pressure ulcers in spinal trauma patients. Informatics in Medicine Unlocked 2026;61:101742 View
  10. Yang Y, He H, Yu C, Sardari Nia P. Artificial Intelligence Models to Predict Recurrence Risk Prediction in Early-Stage Non-Small Cell Lung Cancer: A Systematic Review. European Journal of Cardio-Thoracic Surgery 2026;68(2) View
  11. Fındık M, Alatlı T, Kocaoğlu S, Gelen Y, Taş R. Emergency Department Prediction of In-Hospital Mortality in Suspected Pulmonary Embolism: An Explainable Machine Learning Approach. Journal of Clinical Medicine 2026;15(4):1340 View
  12. Clement David-Olawade A, Ogunbona M, Olawuyi O, Makanjuola B, Alabi J, Olawade D. Artificial intelligence and machine learning applications in dialysis: Current applications, challenges, and future directions. Clinica Chimica Acta 2026;586:120908 View
  13. Asadov C, Shirinova A, Alimirzoyeva Z, Hasanova A. Digital Medicine and Artificial Intelligence in Chronic Myeloid Leukemia: Current Applications, Challenges, and Future Directions. Cureus 2026 View
  14. Vlad A, Blaga F, Scrobota I, Iurcov R, Ciavoi G, Fratila A, Țig I. Development and Internal Evaluation of an Interpretable AI-Based Composite Score for Psychosocial and Behavioral Screening in Dental Clinics Using a Mamdani Fuzzy Inference System. Medicina 2026;62(2):412 View
  15. Liu C, Wang S, Su P, Hsieh Y, Wang H. Microfluidic electroporation for drug and gene delivery: Driving innovation from single-cell precision to high-throughput preclinical and therapeutic platforms. Advanced Drug Delivery Reviews 2026;233:115851 View
  16. Zhang K, Wang D, Lin F, Xie J, Zhou W. A comprehensive review of explainable artificial intelligence in healthcare methods, evaluation, and clinical integration. iScience 2026;29(3):115026 View
  17. Xu Y, Huang Y, Armstrong J, Xu W, Biglino G, Zhang W, Qi Q, Chen X, Abram S, Vyas C, Da Silva Bartolo P, Liu F. Recent advances in biomaterials and structural design of 3D printed multiphasic scaffolds for osteochondral regeneration. Materials Science and Engineering: R: Reports 2026;170:101210 View
  18. Uppal K, Ul Haq S, Malik S, Ashraf R. <b>Pharmacogenomics: Foundation, Clinical Applications and Emerging Role of Artificial Intelligence in Personalized Medicine</b>. Pan-African Journal of Health and Psychological Sciences 2026;2(2) View
  19. Ali H, Akhtar M. Modality-Specific Sparse Autoencoders for Efficient Multimodal ICU Alignment: A Symmetry–Asymmetry Learning Framework. Symmetry 2026;18(4):677 View
  20. Rahimah S, Tallei T, Savitri M, Yamada C, Kim H, Choi M, Park M, Ophinni Y, Kim B. Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling. Food Chemistry: Molecular Sciences 2026;12:100411 View
  21. Nkhwashu J, Ofusori L, Ndayizigamiye P, Makaba T. The Use of Machine Learning in Emergency Care Units: A Systematic Review. Journal of Primary Care & Community Health 2026;17 View
  22. Al-Absi D, Emre Simsekler M, Yaqub M, Anwar S. Operationalizing a human-centered explainable AI framework for smart health systems: a case study of perioperative acute kidney injury. Computers & Industrial Engineering 2026;218:112107 View
  23. Cox M, Lin E, Oleck N, Jones C, Li N, Mithani S, Allori A. Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study. JMIR Medical Informatics 2026;14:e87133 View
  24. Jo H, Kim S, Son H, Kim J. Clinical text embeddings: A systematic review of methods, applications, and future directions. International Journal of Medical Informatics 2026;217:106505 View
  25. Glass G, Ang C, Weiss M, Fan X, Cleland J, Manski-Nankervis J. Improving healthcare professionals’ usage of artificial intelligence-powered risk recommenders through enhancement of trust and acceptance: a rapid realist review protocol. BMJ Open 2026;16(5):e118394 View
  26. Seliverstov P. Transforming the role of a doctor in the age of artificial intelligence: gains versus losses. Vrach 2026:43 View
  27. Thantrige M, Arachchi S, Erkudov V, Rozumbetov K, Rathnayake U. Explainable machine learning for somatotype prediction in adolescents living under anthropogenic environmental stressors. Intelligence-Based Medicine 2026;15:100407 View
  28. Pan K, Huang C, Lin X, Huang S. Explainability and Human Oversight for AI-Generated Exercise Guidance in Digital Healthcare: A Governance-Oriented Narrative Review. Healthcare 2026;14(12):1716 View

Conference Proceedings

  1. Muthukrishnan P, Packialatha A. 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT). A Hybrid Explainable AI Framework for Transparent Clinical Diagnosis Using LightGBM and SHAP on MIMIC-IV View
  2. Karmakar P, Shazzad S. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence &amp; Networking (QPAIN). Human-AI Interaction in Healthcare: A User-Centered Evaluation of Trust and Usability in Explainable AI Interfaces View