Published on in Vol 5 , No 2 (2019) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16048, first published .
Introducing Artificial Intelligence Training in Medical Education

Introducing Artificial Intelligence Training in Medical Education

Introducing Artificial Intelligence Training in Medical Education

Journals

  1. Paranjape K, Schinkel M, Nanayakkara P. Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare through new era of Artificial Intelligence. IEEE Journal of Biomedical and Health Informatics 2020:1 View
  2. Sapci A, Sapci H. Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Medical Education 2020;6(1):e19285 View
  3. Sarbadhikari S, Pradhan K. The Need for Developing Technology-Enabled, Safe, and Ethical Workforce for Healthcare Delivery. Safety and Health at Work 2020;11(4):533 View
  4. Jeong G. Artificial intelligence, machine learning, and deep learning in women’s health nursing. Korean Journal of Women Health Nursing 2020;26(1):5 View
  5. Singh R, Hom G, Abramoff M, Campbell J, Chiang M. Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient. Translational Vision Science & Technology 2020;9(2):45 View
  6. Javaid M, Haleem A, Khan I, Vaishya R, Vaish A. Extending capabilities of artificial intelligence for decision-making and healthcare education. Apollo Medicine 2020;17(1):53 View
  7. Blease C, Kharko A, Locher C, DesRoches C, Mandl K, Marotta C. US primary care in 2029: A Delphi survey on the impact of machine learning. PLOS ONE 2020;15(10):e0239947 View
  8. Lindqwister A, Hassanpour S, Lewis P, Sin J. AI-RADS: An Artificial Intelligence Curriculum for Residents. Academic Radiology 2021;28(12):1810 View
  9. Paranjape K, Schinkel M, Hammer R, Schouten B, Nannan Panday R, Elbers P, Kramer M, Nanayakkara P. The Value of Artificial Intelligence in Laboratory Medicine. American Journal of Clinical Pathology 2021;155(6):823 View
  10. Senbekov M, Saliev T, Bukeyeva Z, Almabayeva A, Zhanaliyeva M, Aitenova N, Toishibekov Y, Fakhradiyev I, Fayn J. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review. International Journal of Telemedicine and Applications 2020;2020:1 View
  11. Carin L. On Artificial Intelligence and Deep Learning Within Medical Education. Academic Medicine 2020;95(11S):S10 View
  12. Зайцева Е, Воронина Л, Дерябина С. Применение цифровых технологий в российских учреждениях здравоохранения для выявления первичного иммунодефицита у детей. Естественные и Технические Науки 2020;(№09):180 View
  13. Kirubarajan A, Taher A, Khan S, Masood S. Artificial intelligence in emergency medicine: A scoping review. Journal of the American College of Emergency Physicians Open 2020;1(6):1691 View
  14. Soong T, Ho C. Artificial Intelligence in Medical OSCEs: Reflections and Future Developments. Advances in Medical Education and Practice 2021;Volume 12:167 View
  15. Katznelson G, Gerke S. The need for health AI ethics in medical school education. Advances in Health Sciences Education 2021;26(4):1447 View
  16. Sinagra E, Rossi F, Raimondo D. Use of Artificial Intelligence in Endoscopic Training: Is Deskilling a Real Fear?. Gastroenterology 2021;160(6):2212 View
  17. Manco L, Maffei N, Strolin S, Vichi S, Bottazzi L, Strigari L. Basic of machine learning and deep learning in imaging for medical physicists. Physica Medica 2021;83:194 View
  18. Richardson M, Adams S, Agarwal A, Auffermann W, Bhattacharya A, Consul N, Fotos J, Kelahan L, Lin C, Lo H, Nguyen X, Salkowski L, Sin J, Thomas R, Wassef S, Ikuta I. Review of Artificial Intelligence Training Tools and Courses for Radiologists. Academic Radiology 2021;28(9):1238 View
  19. Fischetti C, Bhatter P, Frisch E, Sidhu A, Helmy M, Lungren M, Duhaime E. The Evolving Importance of Artificial Intelligence and Radiology in Medical Trainee Education. Academic Radiology 2022;29:S70 View
  20. Valikodath N, Cole E, Ting D, Campbell J, Pasquale L, Chiang M, Chan R. Impact of Artificial Intelligence on Medical Education in Ophthalmology. Translational Vision Science & Technology 2021;10(7):14 View
  21. Andreatta P, Smith C, Graybill J, Bowyer M, Elster E. Challenges and opportunities for artificial intelligence in surgery. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 2022;19(2):219 View
  22. Giordano C, Brennan M, Mohamed B, Rashidi P, Modave F, Tighe P. Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers in Digital Health 2021;3 View
  23. Wood E, Ange B, Miller D. Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey. Journal of Medical Education and Curricular Development 2021;8:238212052110240 View
  24. Gray K, Slavotinek J, Dimaguila G, Choo D. Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs. JMIR Medical Education 2022;8(2):e35223 View
  25. Zheng S, Aljawarneh S. Design and Implementation of Continuing Education Online Training System Based on Artificial Intelligence Algorithm. Mobile Information Systems 2022;2022:1 View
  26. Lindqwister A, Hassanpour S, Levy J, Sin J. AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats. Frontiers in Medical Technology 2023;4 View
  27. Ali O, Abdelbaki W, Shrestha A, Elbasi E, Alryalat M, Dwivedi Y. A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge 2023;8(1):100333 View
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  30. Alrujaib M, Bakheet D. What Is the Value of Artificial Intelligence in Radiology?. Innovations in Surgery and Interventional Medicine 2021;1(2):23 View
  31. Velez-Florez M, Ghosh A, Patton D, Sze R, Reid J, Sotardi S. Artificial Intelligence Curriculum Needs Assessment for a Pediatric Radiology Fellowship Program: What, How, and Why?. Academic Radiology 2023;30(2):349 View
  32. Laupichler M, Hadizadeh D, Wintergerst M, von der Emde L, Paech D, Dick E, Raupach T. Effect of a flipped classroom course to foster medical students’ AI literacy with a focus on medical imaging: a single group pre-and post-test study. BMC Medical Education 2022;22(1) View
  33. Russell R, Lovett Novak L, Patel M, Garvey K, Craig K, Jackson G, Moore D, Miller B. Competencies for the Use of Artificial Intelligence–Based Tools by Health Care Professionals. Academic Medicine 2023;98(3):348 View
  34. Kedar S, Khazanchi D. Neurology education in the era of artificial intelligence. Current Opinion in Neurology 2023;36(1):51 View
  35. Otaigbe I. Scaling up artificial intelligence to curb infectious diseases in Africa. Frontiers in Digital Health 2022;4 View
  36. Rosser A, Qadadha Y, Thompson R, Jung H, Jung S. Measuring the impact of simulation debriefing on the practices of interprofessional trauma teams using natural language processing. The American Journal of Surgery 2023;225(2):394 View
  37. Hassanzadeh Rad A, Shahrokhi M, Koohmanaee S, Medghalchi N, Atrkar Roshan Z, Mehrabi M, Dalili S. The Novel Method of Teaching Physiology and Pathophysiology of Congenital Hypothyroidism to Medical Students: An Educational Intervention Study. Journal of Comprehensive Pediatrics 2022;13(4) View
  38. Aylward B, Abbas H, Taraman S, Salomon C, Gal-Szabo D, Kraft C, Ehwerhemuepha L, Chang A, Wall D. An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics. Journal of Developmental & Behavioral Pediatrics 2023;44(2):e126 View
  39. Li B, de Mestral C, Mamdani M, Al-Omran M. Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning. Journal of Vascular Surgery Cases, Innovations and Techniques 2022;8(3):466 View
  40. Zainal H, Xin X, Thumboo J, Fong K. Medical school curriculum in the digital age: perspectives of clinical educators and teachers. BMC Medical Education 2022;22(1) View
  41. khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J, Abdullah S. Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector. Biomedical Materials & Devices 2023 View
  42. van de Sande D, Van Genderen M, Smit J, Huiskens J, Visser J, Veen R, van Unen E, BA O, Gommers D, Bommel J. Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter. BMJ Health Care Inform 2022;29(1):e100495 View
  43. Falcetta F, de Almeida F, Lemos J, Goldim J, da Costa C. Automatic documentation of professional health interactions: A systematic review. Artificial Intelligence in Medicine 2023;137:102487 View
  44. Wichmann R, Fagundes T, de Oliveira T, Batista A, Chiavegatto Filho A, Roman-Gonzalez A. Physician preference for receiving machine learning predictive results: A cross-sectional multicentric study. PLOS ONE 2022;17(12):e0278397 View
  45. Abdulhussein H, Turnbull R, Dodkin L, Mitchell P. Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach. Intelligence-Based Medicine 2021;5:100047 View
  46. Bisdas S, Topriceanu C, Zakrzewska Z, Irimia A, Shakallis L, Subhash J, Casapu M, Leon-Rojas J, Pinto dos Santos D, Andrews D, Zeicu C, Bouhuwaish A, Lestari A, Abu-Ismail L, Sadiq A, Khamees A, Mohammed K, Williams E, Omran A, Ismail D, Ebrahim E. Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception. Frontiers in Public Health 2021;9 View
  47. Quazi S, Saha R, Singh M. Applications of Artificial Intelligence in Healthcare. Journal of Experimental Biology and Agricultural Sciences 2022;10(1):211 View
  48. Helbing D, Beschorner T, Frey B, Diekmann A, Hagendorff T, Seele P, Spiekermann-Hoff S, van den Hoven J, Zwitter A. Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution?. Journal of European CME 2021;10(1) View
  49. Nagy M, Radakovich N, Nazha A. Why Machine Learning Should Be Taught in Medical Schools. Medical Science Educator 2022;32(2):529 View
  50. Wang C, Zhong H, Chiu P, Chang J, Wu P. Research on the Impacts of Cognitive Style and Computational Thinking on College Students in a Visual Artificial Intelligence Course. Frontiers in Psychology 2022;13 View
  51. Saghiri M, Vakhnovetsky J, Nadershahi N. Scoping review of artificial intelligence and immersive digital tools in dental education. Journal of Dental Education 2022;86(6):736 View
  52. Lazarus M, Truong M, Douglas P, Selwyn N. Artificial intelligence and clinical anatomical education: Promises and perils. Anatomical Sciences Education 2022 View
  53. Loftus T, Shickel B, Ozrazgat-Baslanti T, Ren Y, Glicksberg B, Cao J, Singh K, Chan L, Nadkarni G, Bihorac A. Artificial intelligence-enabled decision support in nephrology. Nature Reviews Nephrology 2022;18(7):452 View
  54. Tran A, Nguyen L, Nguyen H, Nguyen C, Vu L, Zhang M, Vu T, Nguyen S, Tran B, Latkin C, Ho R, Ho C. Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians. Frontiers in Public Health 2021;9 View
  55. Wang J, Singh R, Miselis H, Stapleton S. Technology Literacy in Undergraduate Medical Education: Review and Survey of the US Medical School Innovation and Technology Programs. JMIR Medical Education 2022;8(1):e32183 View
  56. Kostick-Quenet K, Gerke S. AI in the hands of imperfect users. npj Digital Medicine 2022;5(1) View
  57. UmaMaheswaran S, Kaur G, Pankajam A, Firos A, Vashistha P, Tripathi V, Mohammed H, Khan R. Empirical Analysis for Improving Food Quality Using Artificial Intelligence Technology for Enhancing Healthcare Sector. Journal of Food Quality 2022;2022:1 View
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  59. Shinners L, Grace S, Smith S, Stephens A, Aggar C. Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool. DIGITAL HEALTH 2022;8:205520762210781 View
  60. Vobugari N, Raja V, Sethi U, Gandhi K, Raja K, Surani S. Advancements in Oncology with Artificial Intelligence—A Review Article. Cancers 2022;14(5):1349 View
  61. Furlan R, Gatti M, Mene R, Shiffer D, Marchiori C, Giaj Levra A, Saturnino V, Brunetta E, Dipaola F. Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study. JMIR Medical Education 2022;8(1):e24372 View
  62. Zainal H, Xiaohui X, Thumboo J, Yong F, Gilligan C. Exploring the views of Singapore junior doctors on medical curricula for the digital age: A case study. PLOS ONE 2023;18(3):e0281108 View
  63. Wei Y, Huang W, Jian C, Hsu C, Hsu C, Lin C, Cheng C, Chen Y, Wei H, Chen K. Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images. NeuroImage: Clinical 2022;35:103044 View
  64. Pucchio A, Papa J, de Moraes F. Artificial intelligence in the medical profession: ready or not, here AI comes. Clinics 2022;77:100010 View
  65. Kang C, Lin J, Zhang H, Scott I, Kalpathy-Cramer J, Liu S, Greenberg P. Artificial intelligence for diagnosing exudative age-related macular degeneration. Cochrane Database of Systematic Reviews 2023;2023(1) View
  66. Kolachalama V. Machine learning and pre-medical education. Artificial Intelligence in Medicine 2022;129:102313 View
  67. Garvey K, Craig K, Russell R, Novak L, Moore D, Preininger A, Jackson G, Miller B. The Potential and the Imperative: the Gap in AI-Related Clinical Competencies and the Need to Close It. Medical Science Educator 2021;31(6):2055 View
  68. Grunhut J, Marques O, Wyatt A. Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum. JMIR Medical Education 2022;8(2):e35587 View
  69. Waldman C, Hermel M, Hermel J, Allinson F, Pintea M, Bransky N, Udoh E, Nicholson L, Robinson A, Gonzalez J, Suhar C, Nayak K, Wesbey G, Bhavnani S. Artificial intelligence in healthcare: a primer for medical education in radiomics. Personalized Medicine 2022;19(5):445 View
  70. Liu D, Sawyer J, Luna A, Aoun J, Wang J, Boachie L, Halabi S, Joe B. Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study. JMIR Medical Education 2022;8(4):e38325 View
  71. Lomis K, Jeffries P, Palatta A, Sage M, Sheikh J, Sheperis C, Whelan A. Artificial Intelligence for Health Professions Educators. NAM Perspectives 2021 View
  72. Ahmad S, Jenkins M. Artificial Intelligence for Nursing Practice and Management. CIN: Computers, Informatics, Nursing 2022;40(3):139 View
  73. Chai S, Hayat A, Flaherty G. Integrating artificial intelligence into haematology training and practice: Opportunities, threats and proposed solutions. British Journal of Haematology 2022;198(5):807 View
  74. Boillat T, Nawaz F, Rivas H. Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study. JMIR Medical Education 2022;8(2):e34973 View
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Books/Policy Documents

  1. Seitzinger P, Rafid-Hamed Z, Kalra J. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  2. Schinkel M, Paranjape K, Nanayakkara P, Wiersinga W. The Sepsis Codex. View
  3. Al Dossari M, Ammar A. Learning and Career Development in Neurosurgery. View
  4. Varghese R, Deshpande A, Digholkar G, Kumar D. The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B. View
  5. Ammar A. Learning and Career Development in Neurosurgery. View
  6. Davids J, Lam K, Nimer A, Gianarrou S, Ashrafian H. Artificial Intelligence in Medicine. View
  7. Patel V, Dev P. Intelligent Systems in Medicine and Health. View
  8. Fernandez R, Hayes K, Gayosso F. Handbook of Nondestructive Evaluation 4.0. View
  9. Fernandez Orozco R, Hayes K, Gayosso F. Handbook of Nondestructive Evaluation 4.0. View
  10. Davids J, Lam K, Nimer A, Gianarrou S, Ashrafian H. Artificial Intelligence in Medicine. View
  11. Pimienta Rodríguez S, Díaz-López M. Technology-Enabled Innovations in Education. View