Skip Navigation
Skip to contents

JEEHP : Journal of Educational Evaluation for Health Professions

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse articles > Author index
Search
Seong Ho Park 1 Article
What should medical students know about artificial intelligence in medicine?  
Seong Ho Park, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, Young-Suk Lim
J Educ Eval Health Prof. 2019;16:18.   Published online July 3, 2019
DOI: https://doi.org/10.3352/jeehp.2019.16.18
  • 23,256 View
  • 679 Download
  • 79 Web of Science
  • 86 Crossref
AbstractAbstract PDFSupplementary Material
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.

Citations

Citations to this article as recorded by  
  • Performance and risks of ChatGPT used in drug information: an exploratory real-world analysis
    Benedict Morath, Ute Chiriac, Elena Jaszkowski, Carolin Deiß, Hannah Nürnberg, Katrin Hörth, Torsten Hoppe-Tichy, Kim Green
    European Journal of Hospital Pharmacy.2024; 31(6): 491.     CrossRef
  • Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists
    Amir Hassankhani, Melika Amoukhteh, Parya Valizadeh, Payam Jannatdoust, Paniz Sabeghi, Ali Gholamrezanezhad
    Academic Radiology.2024; 31(1): 306.     CrossRef
  • Views of veterinary faculty students on the concept of Artificial Intelligence and its use in Veterinary Medicine practices: An example of Ankara University Faculty of Veterinary Medicine
    Nigar Yerlikaya, Özgül Küçükaslan
    Ankara Üniversitesi Veteriner Fakültesi Dergisi.2024; 71(3): 249.     CrossRef
  • Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology
    Allison Chae, Michael S. Yao, Hersh Sagreiya, Ari D. Goldberg, Neil Chatterjee, Matthew T. MacLean, Jeffrey Duda, Ameena Elahi, Arijitt Borthakur, Marylyn D. Ritchie, Daniel Rader, Charles E. Kahn, Walter R. Witschey, James C. Gee
    Radiology.2024;[Epub]     CrossRef
  • Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects
    Talha Iqbal, Mehedi Masud, Bilal Amin, Conor Feely, Mary Faherty, Tim Jones, Michelle Tierney, Atif Shahzad, Patricia Vazquez
    Health Sciences Review.2024; 10: 100150.     CrossRef
  • The Knowledge of Students at Bursa Faculty of Medicine towards Artificial Intelligence: A Survey Study
    Deniz GÜVEN, Elif Güler KAZANCI, Ayşe ÖREN, Livanur SEVER, Pelin ÜNLÜ
    Journal of Bursa Faculty of Medicine.2024; 2(1): 20.     CrossRef
  • Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study
    Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shasavari, Saeed Hassanpour
    Medical Education Online.2024;[Epub]     CrossRef
  • A scoping review of artificial intelligence in medical education: BEME Guide No. 84
    Morris Gordon, Michelle Daniel, Aderonke Ajiboye, Hussein Uraiby, Nicole Y. Xu, Rangana Bartlett, Janice Hanson, Mary Haas, Maxwell Spadafore, Ciaran Grafton-Clarke, Rayhan Yousef Gasiea, Colin Michie, Janet Corral, Brian Kwan, Diana Dolmans, Satid Thamma
    Medical Teacher.2024; 46(4): 446.     CrossRef
  • Artificial Intelligence Readiness Status of Medical Faculty Students
    Büşra EMİR, Tulin YURDEM, Tulin OZEL, Toygar SAYAR, Teoman Atalay UZUN, Umit AKAR, Unal Arda COLAK
    Konuralp Tıp Dergisi.2024; 16(1): 88.     CrossRef
  • Potential applications of ChatGPT in obstetrics and gynecology in Korea: a review article
    YooKyung Lee, So Yun Kim
    Obstetrics & Gynecology Science.2024; 67(2): 153.     CrossRef
  • ChatGPT in dentomaxillofacial radiology education
    Hilal Peker Öztürk, Hakan Avsever, Buğra Şenel, Şükran Ayran, Mustafa Çağrı Peker, Hatice Seda Özgedik, Nurten Baysal
    Journal of Health Sciences and Medicine.2024; 7(2): 224.     CrossRef
  • Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education
    Russell Franco D’Souza, Mary Mathew, Vedprakash Mishra, Krishna Mohan Surapaneni
    Medical Education Online.2024;[Epub]     CrossRef
  • Examining labelling guidelines for AI‐based software as a medical device: A review and analysis of dermatology mobile applications in Australia
    Ayooluwatomiwa Oloruntoba, Åsa Ingvar, Maithili Sashindranath, Ojochonu Anthony, Lisa Abbott, Pascale Guitera, Tony Caccetta, Monika Janda, H. Peter Soyer, Victoria Mar
    Australasian Journal of Dermatology.2024; 65(5): 409.     CrossRef
  • Comparing the Performance of ChatGPT-4 and Medical Students on MCQs at Varied Levels of Bloom’s Taxonomy
    Ambadasu Bharatha, Nkemcho Ojeh, Ahbab Mohammad Fazle Rabbi, Michael Campbell, Kandamaran Krishnamurthy, Rhaheem Layne-Yarde, Alok Kumar, Dale Springer, Kenneth Connell, Md Anwarul Majumder
    Advances in Medical Education and Practice.2024; Volume 15: 393.     CrossRef
  • Artificial intelligence and learning environment: Human considerations
    Esmaeil Jafari
    Journal of Computer Assisted Learning.2024; 40(5): 2135.     CrossRef
  • ChatGPT, a Friend or a Foe in Medical Education: A Review of Strengths, Challenges, and Opportunities
    Mahdi Zarei, Maryam Zarei, Sina Hamzehzadeh, Sepehr Shakeri Bavil Oliyaei, Mohammad-Salar Hosseini
    Shiraz E-Medical Journal.2024;[Epub]     CrossRef
  • Design and validation of an artificial intelligence-powered instrument for the assessment of migraine risk in university students in Lebanon
    Zahraa Tahhan, Georges Hatem, Ahmed M. Abouelmaty, Zad Rafei, Sanaa Awada
    Computers in Human Behavior Reports.2024; 15: 100453.     CrossRef
  • Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review
    Raymond Tolentino, Ashkan Baradaran, Genevieve Gore, Pierre Pluye, Samira Abbasgholizadeh-Rahimi
    JMIR Medical Education.2024; 10: e54793.     CrossRef
  • Artificial intelligence in medical education - perception among medical students
    Preetha Jackson, Gayathri Ponath Sukumaran, Chikku Babu, M. Christa Tony, Deen Stephano Jack, V. R. Reshma, Dency Davis, Nisha Kurian, Anjum John
    BMC Medical Education.2024;[Epub]     CrossRef
  • The “Magical Theory” of AI in Medicine: Thematic Narrative Analysis
    Giorgia Lorenzini, Laura Arbelaez Ossa, Stephen Milford, Bernice Simone Elger, David Martin Shaw, Eva De Clercq
    JMIR AI.2024; 3: e49795.     CrossRef
  • Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study
    Anamaria Malešević, Mária Kolesárová, Anto Čartolovni
    BMC Medical Ethics.2024;[Epub]     CrossRef
  • Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence
    Hui Lu, Ahmad Alhaskawi, Yanzhao Dong, Xiaodi Zou, Haiying Zhou, Sohaib Hasan Abdullah Ezzi, Vishnu Goutham Kota, Mohamed Hasan Abdulla Hasan Abdulla, Sahar Ahmed Abdalbary
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • Medical Education and Artificial Intelligence: Web of Science–Based Bibliometric Analysis (2013-2022)
    Shuang Wang, Liuying Yang, Min Li, Xinghe Zhang, Xiantao Tai
    JMIR Medical Education.2024; 10: e51411.     CrossRef
  • Correlates of Medical and Allied Health Students’ Engagement with Generative AI in Nigeria
    Zubairu Iliyasu, Hameedat O. Abdullahi, Bilkisu Z. Iliyasu, Humayra A. Bashir, Taiwo G. Amole, Hadiza M. Abdullahi, Amina U. Abdullahi, Aminatu A. Kwaku, Tahir Dahir, Fatimah I. Tsiga-Ahmed, Abubakar M. Jibo, Hamisu M. Salihu, Muktar H. Aliyu
    Medical Science Educator.2024;[Epub]     CrossRef
  • Going beyond competencies: Building blocks for a patient- and population-centered medical curriculum
    Mohi Eldin Magzoub, Mohammed Hassan Taha, Susan Waller, Awad Mansour Al Eissa, Hossam Hamdy, John Norcini, Saeeda Al Marzooqi, Sami Shaban, Mohammed Elhassan Abdalla, Henk Schmidt
    Medical Teacher.2024; : 1.     CrossRef
  • Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine
    Salita Angkurawaranon, Nakarin Inmutto, Kittipitch Bannangkoon, Surapat Wonghan, Thanawat Kham-ai, Porched Khumma, Kanvijit Daengpisut, Phattanun Thabarsa, Chaisiri Angkurawaranon
    BMC Medical Education.2024;[Epub]     CrossRef
  • Exploring Filipino Medical Students’ Attitudes and Perceptions of Artificial Intelligence in Medical Education: A Mixed-Methods Study
    Robbi Miguel G. Falcon, Renne Margaret U. Alcazar, Hannah G. Babaran, Beatrice Dominique B. Caragay, Cheenie Ann A. Corpuz, Maegan Victoria S. Kho, Aleisha Claire N. Perez, Iris Thiele C. Isip-Tan
    MedEdPublish.2024; 14: 282.     CrossRef
  • A novel adaptive cubic quasi‐Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID‐19 and segmentation for COVID‐19 lung infection, liver tumor, and optic disc/cup
    Yan Liu, Maojun Zhang, Zhiwei Zhong, Xiangrong Zeng
    Medical Physics.2023; 50(3): 1528.     CrossRef
  • Clinical informatics training in medical school education curricula: a scoping review
    Humairah Zainal, Joshua Kuan Tan, Xin Xiaohui, Julian Thumboo, Fong Kok Yong
    Journal of the American Medical Informatics Association.2023; 30(3): 604.     CrossRef
  • Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2023; 20: 1.     CrossRef
  • Exploring the views of Singapore junior doctors on medical curricula for the digital age: A case study
    Humairah Zainal, Xin Xiaohui, Julian Thumboo, Fong Kok Yong, Conor Gilligan
    PLOS ONE.2023; 18(3): e0281108.     CrossRef
  • Artificial Intelligence Teaching as Part of Medical Education: Qualitative Analysis of Expert Interviews
    Lukas Weidener, Michael Fischer
    JMIR Medical Education.2023; 9: e46428.     CrossRef
  • Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education
    Ali Jasem Buabbas, Brouj Miskin, Amar Ali Alnaqi, Adel K. Ayed, Abrar Abdulmohsen Shehab, Shabbir Syed-Abdul, Mohy Uddin
    Healthcare.2023; 11(9): 1298.     CrossRef
  • A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study
    Zuhal Y. Hamd, Wiam Elshami, Sausan Al Kawas, Hanan Aljuaid, Mohamed M. Abuzaid
    Heliyon.2023; 9(6): e17089.     CrossRef
  • ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
    Mohamad-Hani Temsah, Fadi Aljamaan, Khalid H. Malki, Khalid Alhasan, Ibraheem Altamimi, Razan Aljarbou, Faisal Bazuhair, Abdulmajeed Alsubaihin, Naif Abdulmajeed, Fatimah S. Alshahrani, Reem Temsah, Turki Alshahrani, Lama Al-Eyadhy, Serin Mohammed Alkhate
    Healthcare.2023; 11(13): 1812.     CrossRef
  • The Impact of Artificial Intelligence on the Preference of Radiology as a Future Specialty Among Medical Students at Jazan University, Saudi Arabia: A Cross-Sectional Study
    Khalid M Hakami, Mohammed Alameer, Essa Jaawna, Abdulrahman Sudi, Bahiyyah Bahkali, Amnah Mohammed, Abdulaziz Hakami, Mohamed Salih Mahfouz, Abdulaziz H Alhazmi, Turki M Dhayihi
    Cureus.2023;[Epub]     CrossRef
  • Application of artificial intelligence in medical education: focus on the application of ChatGPT for clinical medical education
    Hyeonmi Hong, Youngjoon Kang, Youngjon Kim, Bomsol Kim
    Journal of Medicine and Life Science.2023; 20(2): 53.     CrossRef
  • Medical Students’ Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice
    Ali Alamer
    Current Medical Imaging Formerly Current Medical Imaging Reviews.2023;[Epub]     CrossRef
  • Psychometric properties of the persian version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)
    AmirAli Moodi Ghalibaf, Maryam Moghadasin, Ali Emadzadeh, Haniye Mastour
    BMC Medical Education.2023;[Epub]     CrossRef
  • A Pilot Remote Curriculum to Enhance Resident and Medical Student Understanding of Machine Learning in Healthcare
    Seth M. Meade, Sebastian Salas-Vega, Matthew R. Nagy, Swetha J. Sundar, Michael P. Steinmetz, Edward C. Benzel, Ghaith Habboub
    World Neurosurgery.2023; 180: e142.     CrossRef
  • Medical Students’ Knowledge and Attitudes about Artificial Intelligence: A Cross-Sectional Survey
    Amber EKER, Ahmet Asım ÇALIŞKAN, Aysel ZORALİ, Bensu KAYNAK, Mehmet Erhan DERİN
    Tıp Eğitimi Dünyası.2023; 22(68): 41.     CrossRef
  • El camino a futuro de la pediatría: Nuevas oportunidades con la inteligencia artificial en la atención infantil
    Wagner Rios-Garcia, Mayli M. Condori-Orosco, Cyntia J. Huasasquiche
    Investigación e Innovación Clínica y Quirúrgica Pediátrica.2023; 1(2): 71.     CrossRef
  • Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging
    Ahmed Marey, Abdelrahman M Saad, Benjamin D Killeen, Catalina Gomez, Mariia Tregubova, Mathias Unberath, Muhammad Umair
    BJR|Open.2023;[Epub]     CrossRef
  • Percepciones de estudiantes de Medicina sobre el impacto de la inteligencia artificial en radiología
    G. Caparrós Galán, F. Sendra Portero
    Radiología.2022; 64(6): 516.     CrossRef
  • Finding the needle by modeling the haystack: Pulmonary embolism in an emergency patient with cardiorespiratory manifestations
    Davide Luciani, Alessandro Magrini, Carlo Berzuini, Antonello Gavazzi, Paolo Canova, Tiziano Barbui, Guido Bertolini
    Expert Systems with Applications.2022; 189: 116066.     CrossRef
  • SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
    Haytham Siala, Yichuan Wang
    Social Science & Medicine.2022; 296: 114782.     CrossRef
  • AUGMENTING CBME CURRICULUM WITH ARTIFICIAL INTELLIGENCE COURSES – A FUTURISTIC APPROACH.
    Yogesh Bahurupi, Ashwini A Mahadule, Prashant M Patil, Vartika Saxena
    INDIAN JOURNAL OF APPLIED RESEARCH.2022; : 46.     CrossRef
  • Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?
    Ananda van der Kamp, Tomas J. Waterlander, Thomas de Bel, Jeroen van der Laak, Marry M. van den Heuvel-Eibrink, Annelies M. C. Mavinkurve-Groothuis, Ronald R. de Krijger
    Pediatric and Developmental Pathology.2022; 25(4): 380.     CrossRef
  • Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs
    Kathleen Gray, John Slavotinek, Gerardo Luis Dimaguila, Dawn Choo
    JMIR Medical Education.2022; 8(2): e35223.     CrossRef
  • Advancements in Oncology with Artificial Intelligence—A Review Article
    Nikitha Vobugari, Vikranth Raja, Udhav Sethi, Kejal Gandhi, Kishore Raja, Salim R. Surani
    Cancers.2022; 14(5): 1349.     CrossRef
  • Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum
    Joel Grunhut, Oge Marques, Adam T M Wyatt
    JMIR Medical Education.2022; 8(2): e35587.     CrossRef
  • Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis
    Faisal A. Nawaz, Austin A. Barr, Monali Y. Desai, Christos Tsagkaris, Romil Singh, Elisabeth Klager, Fabian Eibensteiner, Emil D. Parvanov, Mojca Hribersek, Maria Kletecka-Pulker, Harald Willschke, Atanas G. Atanasov
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Communication training for pharmacy students with standard patients using artificial intelligence
    Naoto Nakagawa, Keita Odanaka, Hiroshi Ohara, Shigeki Kisara
    Currents in Pharmacy Teaching and Learning.2022; 14(7): 854.     CrossRef
  • Artificial intelligence in healthcare: Should it be included in the medical curriculum? A students’ perspective
    MANISHI BANSAL, ANKUSH JINDAL
    The National Medical Journal of India.2022; 35: 56.     CrossRef
  • Undergraduate Medical Students’ and Interns’ Knowledge and Perception of Artificial Intelligence in Medicine
    Nisha Jha, Pathiyil Ravi Shankar, Mohammed Azmi Al-Betar, Rupesh Mukhia, Kabita Hada, Subish Palaian
    Advances in Medical Education and Practice.2022; Volume 13: 927.     CrossRef
  • Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study
    David Shalom Liu, Jake Sawyer, Alexander Luna, Jihad Aoun, Janet Wang, Lord Boachie, Safwan Halabi, Bina Joe
    JMIR Medical Education.2022; 8(4): e38325.     CrossRef
  • Artificial intelligence in medical education: a cross-sectional needs assessment
    M. Murat Civaner, Yeşim Uncu, Filiz Bulut, Esra Giounous Chalil, Abdülhamit Tatli
    BMC Medical Education.2022;[Epub]     CrossRef
  • Medical students’ perceptions of the impact of artificial intelligence in radiology
    G. Caparrós Galán, F. Sendra Portero
    Radiología (English Edition).2022; 64(6): 516.     CrossRef
  • Medical Education 4.0: A Neurology Perspective
    Zaitoon Zafar, Muhammad Umair, Filzah Faheem, Danish Bhatti , Junaid S Kalia
    Cureus.2022;[Epub]     CrossRef
  • AI in the hands of imperfect users
    Kristin M. Kostick-Quenet, Sara Gerke
    npj Digital Medicine.2022;[Epub]     CrossRef
  • Trust and medical AI: the challenges we face and the expertise needed to overcome them
    Thomas P Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le
    Journal of the American Medical Informatics Association.2021; 28(4): 890.     CrossRef
  • Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey
    Ruben Pauwels, Yumi Chokyu Del Rey
    Dentomaxillofacial Radiology.2021; 50(5): 20200461.     CrossRef
  • Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence
    Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
    Korean Journal of Radiology.2021; 22(3): 442.     CrossRef
  • Basic of machine learning and deep learning in imaging for medical physicists
    Luigi Manco, Nicola Maffei, Silvia Strolin, Sara Vichi, Luca Bottazzi, Lidia Strigari
    Physica Medica.2021; 83: 194.     CrossRef
  • Inteligencia artificial y simulación en urología
    J. Gómez Rivas, C. Toribio Vázquez, C. Ballesteros Ruiz, M. Taratkin, J.L. Marenco, G.E. Cacciamani, E. Checcucci, Z. Okhunov, D. Enikeev, F. Esperto, R. Grossmann, B. Somani, D. Veneziano
    Actas Urológicas Españolas.2021; 45(8): 524.     CrossRef
  • Regulating AI in Health Care: The Challenges of Informed User Engagement
    Olya Kudina
    Hastings Center Report.2021; 51(5): 6.     CrossRef
  • Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey
    Elena A Wood, Brittany L Ange, D Douglas Miller
    Journal of Medical Education and Curricular Development.2021;[Epub]     CrossRef
  • A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees
    Walter F. Wiggins, M. Travis Caton, Kirti Magudia, Michael H. Rosenthal, Katherine P. Andriole
    Journal of Digital Imaging.2021; 34(4): 1026.     CrossRef
  • Artificial intelligence and simulation in urology
    J. Gómez Rivas, C. Toribio Vázquez, C. Ballesteros Ruiz, M. Taratkin, J.L. Marenco, G.E. Cacciamani, E. Checcucci, Z. Okhunov, D. Enikeev, F. Esperto, R. Grossmann, B. Somani, D. Veneziano
    Actas Urológicas Españolas (English Edition).2021; 45(8): 524.     CrossRef
  • Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach
    David Wiljer, Mohammad Salhia, Elham Dolatabadi, Azra Dhalla, Caitlin Gillan, Dalia Al-Mouaswas, Ethan Jackson, Jacqueline Waldorf, Jane Mattson, Megan Clare, Nadim Lalani, Rebecca Charow, Sarmini Balakumar, Sarah Younus, Tharshini Jeyakumar, Wanda Petean
    JMIR Research Protocols.2021; 10(10): e30940.     CrossRef
  • Artificial Intelligence in Undergraduate Medical Education: A Scoping Review
    Juehea Lee, Annie Siyu Wu, David Li, Kulamakan (Mahan) Kulasegaram
    Academic Medicine.2021; 96(11S): S62.     CrossRef
  • Artificial Intelligence Evidence-Based Current Status and Potential for Lower Limb Vascular Management
    Xenia Butova, Sergey Shayakhmetov, Maxim Fedin, Igor Zolotukhin, Sergio Gianesini
    Journal of Personalized Medicine.2021; 11(12): 1280.     CrossRef
  • Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review
    Rebecca Charow, Tharshini Jeyakumar, Sarah Younus, Elham Dolatabadi, Mohammad Salhia, Dalia Al-Mouaswas, Melanie Anderson, Sarmini Balakumar, Megan Clare, Azra Dhalla, Caitlin Gillan, Shabnam Haghzare, Ethan Jackson, Nadim Lalani, Jane Mattson, Wanda Pete
    JMIR Medical Education.2021; 7(4): e31043.     CrossRef
  • The Journal Citation Indicator has arrived for Emerging Sources Citation Index journals, including the Journal of Educational Evaluation for Health Professions, in June 2021
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2021; 18: 20.     CrossRef
  • Ethical Challenges of Artificial Intelligence in Health Care: A Narrative Review
    Aaron T. Hui, Shawn S. Ahn, Carolyn T. Lye, Jun Deng
    Ethics in Biology, Engineering and Medicine: An International Journal.2021; 12(1): 55.     CrossRef
  • Bayesian networks: Making the most of a history
    Rami Abbass, Usmaan Bhatti, Shad Asinger
    The Clinical Teacher.2021; 18(2): 140.     CrossRef
  • Fundamentals in Artificial Intelligence for Vascular Surgeons
    Juliette Raffort, Cédric Adam, Marion Carrier, Fabien Lareyre
    Annals of Vascular Surgery.2020; 65: 254.     CrossRef
  • Extending capabilities of artificial intelligence for decision-making and healthcare education
    Mohd Javaid, Abid Haleem, IbrahimHaleem Khan, Raju Vaishya, Abhishek Vaish
    Apollo Medicine.2020; 17(1): 53.     CrossRef
  • Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
    Zeeshan Ahmed, Khalid Mohamed, Saman Zeeshan, XinQi Dong
    Database.2020;[Epub]     CrossRef
  • Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review
    A Hasan Sapci, H Aylin Sapci
    JMIR Medical Education.2020; 6(1): e19285.     CrossRef
  • Evaluation of epidemiological lectures using peer instruction: focusing on the importance of ConcepTests
    Toshiharu Mitsuhashi
    PeerJ.2020; 8: e9640.     CrossRef
  • Artificial Intelligence in Small Bowel Endoscopy: Current Perspectives and Future Directions
    Dinesh Meher, Mrinal Gogoi, Pankaj Bharali, Prajna Anirvan, Shivaram Prasad Singh
    Journal of Digestive Endoscopy.2020; 11(04): 245.     CrossRef
  • Key principles of clinical validation, device approval, and insurance coverage decisions of artificial intelligence
    Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
    Journal of the Korean Medical Association.2020; 63(11): 696.     CrossRef
  • Artificial intelligence-based education assists medical students’ interpretation of hip fracture
    Chi-Tung Cheng, Chih-Chi Chen, Chih-Yuan Fu, Chung-Hsien Chaou, Yu-Tung Wu, Chih-Po Hsu, Chih-Chen Chang, I-Fang Chung, Chi-Hsun Hsieh, Ming-Ju Hsieh, Chien-Hung Liao
    Insights into Imaging.2020;[Epub]     CrossRef
  • Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education
    Jin Sup Jung
    Korean Medical Education Review.2020; 22(2): 99.     CrossRef
  • Introducing Artificial Intelligence Training in Medical Education
    Ketan Paranjape, Michiel Schinkel, Rishi Nannan Panday, Josip Car, Prabath Nanayakkara
    JMIR Medical Education.2019; 5(2): e16048.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions
TOP