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

Artificial Intelligence (2204) Digital Health Reviews (1761) Theoretical Frameworks and Concepts (351) Ethical, Legal, and Social Issues in AI (110)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67485, first published .
AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis

AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis

AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis

Authors of this article:

Christine Jacob1 Author Orcid Image ;   Noé Brasier2 Author Orcid Image ;   Emanuele Laurenzi1 Author Orcid Image ;   Sabina Heuss1 Author Orcid Image ;   Stavroula-Georgia Mougiakakou3, 4 Author Orcid Image ;   Arzu Cöltekin5 Author Orcid Image ;   Marc K Peter1 Author Orcid Image
Article Authors Cited by (26) Tweetations (2) Metrics

Journals

  1. Nandy B. Hospital Investment Decisions and Prioritization of Clinical Programs. Cureus 2025 View
  2. Barry J, Beam K, McAdams R. Artificial intelligence in pediatric medicine: a call for rigorous reporting standards. Journal of Perinatology 2025;45(8):1031 View
  3. Deshwal P, Tiwari P. A comparative analysis of logistic regression (LR) and artificial neural network (ANN) models for predicting antimicrobial resistance in surgical ICU patients: Insights from real-world evidence in India. International Journal of Risk & Safety in Medicine 2025;36(4):168 View
  4. Surendranath K. Responsible AI Assurance: From Principles to Practice with the RAIAMM Framework. International Journal of Innovative Science and Research Technology 2025:955 View
  5. Umakanth A. Human-in-the-Loop Architectures for Validating GenAI Outputs in Clinical Settings. European Journal of Computer Science and Information Technology 2025;13(47):103 View
  6. Shojaei S, Mousavi A, Kazemian S, Armani S, Maleki S, Fallahtafti P, Arashlow F, Daryabari Y, Naderian M, Alkhouli M, Rana J, Mehrani M, Jenab Y, Hosseini K. Artificial Intelligence in Risk Stratification and Outcome Prediction for Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis. Journal of Personalized Medicine 2025;15(7):302 View
  7. Wang M, Zhu J, Qian W, Gu H. Integrating artificial intelligence and gamification in rehabilitation: A scoping review. Entertainment Computing 2025;55:101011 View
  8. El Arab R, Al Moosa O, Sagbakken M. Economic, ethical, and regulatory dimensions of artificial intelligence in healthcare: an integrative review. Frontiers in Public Health 2025;13 View
  9. Natalia Kulicka , Kinga Knutelska , Tytus Tyralik , Maciej Karwat , Patrycja Jędrzejewska-Rzezak , Monika Czekalska , Aleksandra Winsyk , Joanna Węgrzecka , Paulina Gajniak , Klaudia Bilińska . FROM PREDICTION TO PREVENTION: THE ROLE OF AI IN TRANSFORMING CORONARY ARTERY DISEASE RISK ASSESSMENT. International Journal of Innovative Technologies in Social Science 2025;2(3(47)) View
  10. Ezimoha K, Faraj M, Kanduri Hanumantharayudu S, Kumar Makam Surendraiah P, Zaigham Hassan M, Ibrahim A, Jaber M, Shah S, Mefti M, Niftalieva G, Ahmed B, Rizwanullah U. The Impact of Remote Patient Monitoring on Clinical Outcomes in Heart Failure Patients: A Meta-Analysis. Cureus 2025 View
  11. Kakumanu S, Portnoy J. From General Intelligence to Specialized Support: AIDUS as a Blueprint for Artificial Intelligence in Chronic Urticaria. The Journal of Allergy and Clinical Immunology: In Practice 2025;13(11):2968 View
  12. Cai X, Li W, Shi W, Cai Y, Zhou J. Modeling epithelial wound closure dynamics with AI: A comparative study across cell types. Regenerative Therapy 2025;30:860 View
  13. Abdal Dayem A, Prince A, Gabr A. Chondrogenic Differentiation of Stem Cells for Cartilage Regeneration: Advances and Future Perspectives. Tissue Engineering and Regenerative Medicine 2026;23(1):21 View
  14. Goldberg M, Eisenkolb V, Aftahy A, Negwer C, Meyer H, Gempt J, Meyer B, Wagner A. Validity of evidence-based recommendations by a large language model for interdisciplinary board decisions in neurooncology: An explorative study and critical evaluation. DIGITAL HEALTH 2025;11 View
  15. Rizzo A, Giacobbe D, Dolci A. Letter: The Hedgehog’s Dilemma and the Integration of Artificial Intelligence in Medicine. NEJM AI 2025;2(12) View
  16. Ferdaus M, Abdelguerfi M, Loup E, N. Niles K, Pathak K, Sloan S. Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models. ACM Computing Surveys 2026;58(7):1 View
  17. P. S. Aithal . Strategic Analysis of DeepMind Technologies Limited: An Exploratory Case Study of AI Innovation, Ethics, and Business Evolution. Poornaprajna International Journal of Teaching & Research Case Studies (PIJTRCS) 2025:108 View
  18. Özdal Zincir Ö, Hatipoğlu Ş, Çifçi Özkan E. Large Language model (LLM) in temporomandibular disorder education: a comparative study. BMC Oral Health 2025;26(1) View
  19. Jacob C, Puthanveettil S, Vavken P, Kaplan E, Zuern C. Bridging Gaps in Women’s Heart Health: User-Centered Needs Assessment Informed by Patient and Clinician Interviews. JMIR Human Factors 2026;13:e82916 View
  20. Houshangi N. Human–AI Collaboration and Metacognitive Occupational Therapy in Schizophrenia Rehabilitation. SN Computer Science 2025;7(1) View
  21. Vinutha Ragavaiah Sethupathy Sarma and Nasar Mohammed . Artificial Intelligence in Pediatric Dentistry Toward Safe Ethical and Clinically Valid Intelligent Systems. International Journal of Advanced Research in Science Communication and Technology 2025:306 View
  22. Tarnanas I, Seixas A, Wyss M, Vlamos P, Çöltekin A. Merging multimodal digital biomarkers into “Digital Neuro Fingerprints” for precision neurology in dementias: the promise of the right treatment for the right patient at the right time in the age of AI. Frontiers in Digital Health 2026;7 View
  23. Beiriger J, Estephan L, Campbell D, Dhillon V, Goldenberg D, Noel J, Orloff L, Russell M, Russell J, Sinclair C, Cottrill E. Evaluating Artificial Intelligence Chatbots for Patient Education on Thyroid Radiofrequency Ablation: An Analysis of Accuracy, Quality, and Readability. Thyroid® 2026 View

Books/Policy Documents

  1. Beig M, Mehmood S, Farooq H, Subhan A. Intelligent Systems for Sustainable Infrastructure: AI Solutions Shaping a Green Future. View

Conference Proceedings

  1. Nigam S, Gupta M, Srivastava S, Khan M, Malik S, Chaturvedi R. 2025 3rd International Conference on Disruptive Technologies (ICDT). Future of AI-Driven Surgical Robotics View
  2. Rosadi C, Tandra T, Ningtji N, Gui A. 2025 10th International Conference on Information Technology and Digital Application (ICITDA). Assessing Indonesia's Readiness for Agentic Coding Adoption in Transforming Software Development View