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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1820) Machine Learning (2228) Decision Support for Health Professionals (1635) Artificial Intelligence (2342) Applications of AI (343) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (206)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73374, first published .
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

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 (17) 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