Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17707, first published .
Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity

Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity

Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity

Journals

  1. Shinners L, Aggar C, Grace S, Smith S. Exploring healthcare professionals’ perceptions of artificial intelligence: Validating a questionnaire using the e-Delphi method. DIGITAL HEALTH 2021;7 View
  2. Graili P, Ieraci L, Hosseinkhah N, Argent-Katwala M. Artificial intelligence in outcomes research: a systematic scoping review. Expert Review of Pharmacoeconomics & Outcomes Research 2021;21(4):601 View
  3. Birkhoff D, van Dalen A, Schijven M. A Review on the Current Applications of Artificial Intelligence in the Operating Room. Surgical Innovation 2021;28(5):611 View
  4. Mirbabaie M, Hofeditz L, Frick N, Stieglitz S. Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research. AI & SOCIETY 2022;37(4):1361 View
  5. Zimmermann B, Eichinger J, Baumgartner M. A systematic review of moral reasons on orphan drug reimbursement. Orphanet Journal of Rare Diseases 2021;16(1) View
  6. Bélisle-Pipon J, Couture V, Roy M, Ganache I, Goetghebeur M, Cohen I. What Makes Artificial Intelligence Exceptional in Health Technology Assessment?. Frontiers in Artificial Intelligence 2021;4 View
  7. Gomez Rossi J, Rojas-Perilla N, Krois J, Schwendicke F. Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy. JAMA Network Open 2022;5(3):e220269 View
  8. Haverinen J, Turpeinen M, Falkenbach P, Reponen J. Implementation of a new Digi-HTA process for digital health technologies in Finland. International Journal of Technology Assessment in Health Care 2022;38(1) View
  9. Gutierrez C, Marchant G, Michael K. Ideas on Optimizing the Future Soft Law Governance of AI. IEEE Technology and Society Magazine 2021;40(4):10 View
  10. Tachkov K, Zemplenyi A, Kamusheva M, Dimitrova M, Siirtola P, Pontén J, Nemeth B, Kalo Z, Petrova G. Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries. Frontiers in Public Health 2022;10 View
  11. Fasterholdt I, Kjølhede T, Naghavi-Behzad M, Schmidt T, Rautalammi Q, Hildebrandt M, Gerdes A, Barkler A, Kidholm K, Rac V, Rasmussen B. Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI). International Journal of Technology Assessment in Health Care 2022;38(1) View
  12. Bradley S, Hemphill S, Markham S, Sivakumar S. Healthcare systems must get fair value for their data. BMJ 2022:e070876 View
  13. Möllmann N, Mirbabaie M, Stieglitz S. Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations. Health Informatics Journal 2021;27(4) View
  14. Chandra S, Prasad N, Lindgren P, Prasad R. C5: A Step Towards Smart World with Enhanced Holistic Wellbeing. Wireless Personal Communications 2022;123(4):3787 View
  15. Fasterholdt I, Naghavi-Behzad M, Rasmussen B, Kjølhede T, Skjøth M, Hildebrandt M, Kidholm K. Value assessment of artificial intelligence in medical imaging: a scoping review. BMC Medical Imaging 2022;22(1) View
  16. Alami H, Lehoux P, Shaw S, Papoutsi C, Rybczynska-Bunt S, Fortin J. Virtual Care and the Inverse Care Law: Implications for Policy, Practice, Research, Public and Patients. International Journal of Environmental Research and Public Health 2022;19(17):10591 View
  17. Vervoort D, Tam D, Wijeysundera H. Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why Is It Different?. Canadian Journal of Cardiology 2022;38(2):259 View
  18. Rojas-Gualdron D. La evaluación de tecnologías en salud basadas en inteligencia artificial ¿debería ser diferente?. Revista CES Salud Pública y Epidemiología 2022;1(1):53 View
  19. Cabral B, Braga L, Syed-Abdul S, Mota F. Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers. Current Oncology 2023;30(3):3432 View
  20. Kaminski A, Gramelsberger G, Scheer D. Modeling for policy and technology assessment: Challenges from computerbased simulations and artificial intelligence. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 2023;32(1):11 View
  21. Constantin A, Atkinson M, Bernabeu M, Buckmaster F, Dhillon B, McTrusty A, Strang N, Williams R. Optometrists’ Perspectives regarding Artificial Intelligence Assistance and contributing Retinal Images to a Repository: a Pilot Study (Preprint). JMIR Human Factors 2022 View
  22. Farah L, Davaze-Schneider J, Martin T, Nguyen P, Borget I, Martelli N. Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review. Artificial Intelligence in Medicine 2023;140:102547 View
  23. Zemplényi A, Tachkov K, Balkanyi L, Németh B, Petykó Z, Petrova G, Czech M, Dawoud D, Goettsch W, Gutierrez Ibarluzea I, Hren R, Knies S, Lorenzovici L, Maravic Z, Piniazhko O, Savova A, Manova M, Tesar T, Zerovnik S, Kaló Z. Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment. Frontiers in Public Health 2023;11 View
  24. Wardi G, Owens R, Josef C, Malhotra A, Longhurst C, Nemati S. Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us. Critical Care Medicine 2023;51(8):985 View
  25. Olaye I, Seixas A. The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice. Journal of Medical Internet Research 2023;25:e32962 View
  26. Victor G, Bélisle-Pipon J, Ravitsky V. Generative AI, Specific Moral Values: A Closer Look at ChatGPT’s New Ethical Implications for Medical AI. The American Journal of Bioethics 2023;23(10):65 View
  27. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  28. Zahlan A, Ranjan R, Hayes D. Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research. Technology in Society 2023;74:102321 View
  29. Di Bidino R, Piaggio D, Andellini M, Merino-Barbancho B, Lopez-Perez L, Zhu T, Raza Z, Ni M, Morrison A, Borsci S, Fico G, Pecchia L, Iadanza E. Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure. Bioengineering 2023;10(10):1109 View
  30. Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
  31. Farič N, Hinder S, Williams R, Ramaesh R, Bernabeu M, van Beek E, Cresswell K. Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. Journal of the American Medical Informatics Association 2023;31(1):24 View
  32. Hesso I, Kayyali R, Dolton D, Joo K, Zacharias L, Charalambous A, Lavdaniti M, Stalika E, Ajami T, Acampa W, Boban J, Nabhani-Gebara S. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology 2023;18(1) View
  33. Deng Z, Tian Z, Xue J, Gupta S. What predicts patients’ satisfaction and continuous use of intelligent medical guidance? the moderating effect of consulting experience. Behaviour & Information Technology 2024;43(13):3111 View
  34. van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed S, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. Journal of Medical Internet Research 2023;25:e48000 View
  35. Kannelønning M. Navigating uncertainties of introducing artificial intelligence (AI) in healthcare: The role of a Norwegian network of professionals. Technology in Society 2024;76:102432 View
  36. Haley L, Boyd A, Hebballi N, Reynolds E, Smith K, Scully P, Nguyen T, Bernstam E, Li L. Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children. Journal of Surgical Research 2024;295:158 View
  37. Iskrov G, Raycheva R, Kostadinov K, Gillner S, Blankart C, Gross E, Gumus G, Mitova E, Stefanov S, Stefanov G, Stefanov R. Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study. Orphanet Journal of Rare Diseases 2024;19(1) View
  38. Williams R, Anderson S, Cresswell K, Kannelønning M, Mozaffar H, Yang X. Domesticating AI in medical diagnosis. Technology in Society 2024;76:102469 View
  39. Segur-Ferrer J, Moltó-Puigmartí C, Pastells-Peiró R, Vivanco-Hidalgo R. Methodological Frameworks and Dimensions to Be Considered in Digital Health Technology Assessment: Scoping Review and Thematic Analysis. Journal of Medical Internet Research 2024;26:e48694 View
  40. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. SSRN Electronic Journal 2024 View
  41. Kawahara T, Sumi Y. GPT-4/4V's performance on the Japanese National Medical Licensing Examination. Medical Teacher 2024:1 View
  42. Boverhof B, Redekop W, Visser J, Uyl-de Groot C, Rutten-van Mölken M. Broadening the HTA of medical AI: A review of the literature to inform a tailored approach. Health Policy and Technology 2024;13(2):100868 View
  43. Carapinha J, Botes D, Carapinha R. Balancing innovation and ethics in AI governance for health technology assessment. Journal of Medical Economics 2024;27(1):754 View
  44. Hastings N, Samuel D, Ansari A, Kaurani P, J J, Bhandary V, Gautam P, Tayyil Purayil A, Hassan T, Dinesh Eshwar M, Nuthalapati B, Pothuri J, Ali N. The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection. Cureus 2024 View
  45. Farah L, Borget I, Martelli N, Vallee A. Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review. Journal of Medical Internet Research 2024;26:e51514 View
  46. Guo Y, Wang C. Improvement Path of Legal System Related to ChatGPT Application Combined with Decision Tree Algorithm. Applied Mathematics and Nonlinear Sciences 2024;9(1) View
  47. Alami H, Lehoux P, Papoutsi C, Shaw S, Fleet R, Fortin J. Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre. BMC Health Services Research 2024;24(1) View
  48. Bouhouita-Guermech S, Haidar H. Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context. Asian Bioethics Review 2024;16(3):315 View
  49. Maru S, Matthias M, Kuwatsuru R, Simpson Jr R. Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023. Journal of Medical Internet Research 2024;26:e57750 View
  50. Komoda D, Cardoso M, Fernandes B, Visacri M, Correa C. Artificial intelligence applied in human health technology assessment: a scoping review protocol. JBI Evidence Synthesis 2024 View
  51. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. Minds and Machines 2024;34(4) View
  52. Kaladharan S, Manayath D, Gopalakrishnan R. Regulatory Challenges in AI/ML-Enabled Medical Devices: A Scoping Review and Conceptual Framework. Journal of Medical Devices 2024;18(4) View
  53. Hoffman J, Hattingh L, Shinners L, Angus R, Richards B, Hughes I, Wenke R. Allied health professionals’ perceptions of artificial intelligence in the clinical setting: a cross sectional survey (Preprint). JMIR Formative Research 2024 View
  54. Larsen A, Sopina L, Aasvang E, Meyhoff C, Kristensen S, Kjellberg J. Estimation of the maximum potential cost saving from reducing serious adverse events in hospitalized patients. Acta Anaesthesiologica Scandinavica 2024;68(10):1471 View
  55. Choukou M, Alkhamis M, Syed-Abdul S, Alshawaf H, Alfadhli S. Perspectives on the use of artificial intelligence: an online survey of health sciences students and faculty members. Health and Technology 2024 View

Books/Policy Documents

  1. Schmitter-Edgecombe M, Luna C, Cook D. Positive Neuropsychology. View
  2. Uchegbu I, Rodriguez-Guadarrama Y, Rua T, Kartha M, Abdulkareem M, Petersen S. Artificial Intelligence in Cardiothoracic Imaging. View
  3. Tavares D, Lopes A, Castro C, Maia G, Leite L, Quintas M. Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines. View
  4. Qouhafa M, Benaji B, Lebbar S, Soulaymani A, Moukhtari A, Elyoussfialaoui M, Nsiri B. International Conference on Advanced Intelligent Systems for Sustainable Development. View
  5. Kurt-Bayrakdar S, Orhan K, Jagtap R. Artificial Intelligence in Dentistry. View
  6. Kannelønning M, Grisot M, Williams R. Reframing Algorithms. View
  7. Khan A, Ali R. Personalized and Precision Nanomedicine for Cancer Treatment. View
  8. Yogeesh N, Girija D, Rashmi M, Shilpa H. Artificial Intelligence in Biomedical and Modern Healthcare Informatics. View