Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55957, first published .
Toward Clinical Generative AI: Conceptual Framework

Toward Clinical Generative AI: Conceptual Framework

Toward Clinical Generative AI: Conceptual Framework

Authors of this article:

Nicola Luigi Bragazzi1 Author Orcid Image ;   Sergio Garbarino2 Author Orcid Image

Journals

  1. Sallam M, Al-Mahzoum K, Almutairi Y, Alaqeel O, Abu Salami A, Almutairi Z, Alsarraf A, Barakat M. Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study. International Medical Education 2024;3(4):406 View
  2. Garbarino S, Bragazzi N. Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine. Journal of Personalized Medicine 2024;14(6):598 View
  3. Bragazzi N, Buchinger M, Atwan H, Tuma R, Chirico F, Szarpak L, Farah R, Khamisy-Farah R. Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study. JMIR Formative Research 2025;9:e56126 View
  4. Gaffney H, Mirza K. Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight. Academic Pathology 2025;12(1):100166 View
  5. Leong L, Hew T, Ooi K, Tan G, Koohang A. Generative AI: Current Status and Future Directions. Journal of Computer Information Systems 2025:1 View
  6. McGrath C, Chau C, Molina G. Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations. Frontiers in Oral Health 2025;6 View
  7. Shen M, Shen Y, Liu F, Jin J. Prompts, privacy, and personalized learning: integrating AI into nursing education—a qualitative study. BMC Nursing 2025;24(1) View
  8. Sallam M, Al-Mahzoum K, Alaraji H, Albayati N, Alenzei S, AlFarhan F, Alkandari A, Alkhaldi S, Alhaider N, Al-Zubaidi D, Shammari F, Salahaldeen M, Slehat A, Mijwil M, Abdelaziz D, Al-Adwan A. Apprehension toward generative artificial intelligence in healthcare: a multinational study among health sciences students. Frontiers in Education 2025;10 View
  9. Nikolopoulos A, Karalis V. Generative Neural Networks for Addressing the Bioequivalence of Highly Variable Drugs. Algorithms 2025;18(5):266 View
  10. Topaz M, Peltonen L, Michalowski M, Pruinelli L, Ronquillo C, Zhang Z, Babic A. The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective. Journal of Nursing Scholarship 2025;57(4):559 View
  11. Croxford E, Gao Y, Pellegrino N, Wong K, Wills G, First E, Schnier M, Burton K, Ebby C, Gorski J, Kalscheur M, Khalil S, Pisani M, Rubeor T, Stetson P, Liao F, Goswami C, Patterson B, Afshar M. Development and validation of the provider documentation summarization quality instrument for large language models. Journal of the American Medical Informatics Association 2025;32(6):1050 View
  12. Baxmann M, Kárpáti K, Baráth Z. The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review. BMC Oral Health 2025;25(1) View
  13. Zercher D, Jussupow E, Benke I, Heinzl A. How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration. Journal of Organizational Behavior 2025 View
  14. Mhadhbi H, Rodi J, Consorti G, Ferreira A, Horta L, Rinne S, Vaucher P, Ménard M. Osteopathy educators' and researchers’ perspectives on artificial intelligence in academia: A cross-sectional study. International Journal of Osteopathic Medicine 2025;57:100774 View
  15. Velastegui-Hernandez D, Contreras-Vásquez L, Sandoval G, Tufiño-Aguilar A, Cevallos-Teneda A, Reyes-Rosero E, Salinas-Velastegui V, Velastegui-Hernández R, Vasquez de la Bandera F, Salazar-Garcés L. Psychological impact of ai in the automation of clinical decision-making. Salud, Ciencia y Tecnología 2025;5:1586 View
  16. Hsu Y, Nguyen T, Yeh C, Tsai S, Tsai Y. Critical thinking, communication, decision-making confidence, and practicum stress among nursing students in maternal nursing practicum: A structural equation model. Nurse Education Today 2025;153:106815 View
  17. Haykal D, Flament F, Shadev M, Mora P, Puyat C, Dréno B, Zheng Q, Cartier H, Gold M, Cohen S. Advances in Longevity: The Intersection of Regenerative Medicine and Cosmetic Dermatology. Journal of Cosmetic Dermatology 2025;24(7) View
  18. Samuel A. Beyond tools: Toward epistemic co‐agency in medical education. Medical Education 2025 View
  19. . Reporting guidelines for chatbot health advice studies: explanation and elaboration for the Chatbot Assessment Reporting Tool (CHART). BMJ 2025;390:e083305 View
  20. Wei Q, Cui M, Liu Z, Liu Z, Feng G, Li Y, Christiani D, Li L, Wang J, Hao Y, Wei Y. Integrating statistical design and inference: A roadmap for robust and trustworthy medical AI. The Innovation Medicine 2025;3(3):100145 View
  21. Mahmoudi Ghehsareh M, Asri N, Azizmohammad Looha M, Sadeghi A, Ciacci C, Rostami-Nejad M. Expert evaluation of ChatGPT accuracy and reliability for basic celiac disease frequently asked questions. Scientific Reports 2025;15(1) View
  22. Zhang A, Zhao E, Wang R, Zhang X, Wang J, Chen E. Multimodal large language models for medical image diagnosis: Challenges and opportunities. Journal of Biomedical Informatics 2025;169:104895 View
  23. Briano S, May M, Demontis G, Pachera G, Mazzola V, Vitali F, Galuppi A, Dapelo E, Zanirato A, Formica M. AI-driven Technologies for Wrist Fracture Prediction: A Narrative Review of Emerging Approaches. Journal of Wrist Surgery 2025 View

Books/Policy Documents

  1. Takawira B, Pooe D. Generative AI. View