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Artificial intelligence in medical and professional health education

Guest Editors:
Samy Azer: King Saud University, Saudi Arabia
Anthony Guerrero: University of Hawai'i

Submission Status: Closed   |   Submission Deadline: 16 February 2024


BMC Medical Education called for submissions to our Collection on the integration of AI in medical and professional health education. Incorporating new AI technologies and methodologies into healthcare professions training and educational curriculums has the potential to improve their effectiveness and the outcomes of the patients these students will go on to assist. 

Meet the Guest Editors

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Professor Samy Azer: College of Medicine, King Saud University, Saudi Arabia

Professor Samy Azer is an Australian physician, author, and medical academic. He is currently a Professor of Medical Education and Chair of the Curriculum Development and Research Unit at King Saud University, Saudi Arabia.  He obtained a PhD from the University of Sydney, a Master's in Education, and a Master's in Public Health, both from the University of New South Wales, Australia. He has been a fellow of the American College of Gastroenterology since 1995 (FACG) and the Royal Society of Medicine (FRSM). He was a Senior Lecturer at the University of Sydney and the University of Melbourne. He is a visiting professor at the University of Toyama, Japan and was a professor of Medical Education at Universiti Teknologi MARA, Malaysia. He is a Senior Editorial Board Member at BMC Medical Education and Health Professions Education. He was recently granted a Fellowship from the Association of Medical Education in Europe (FAMEE) for his global leadership in Medical Education.

Dr Anthony P. Guerrero: John A. Burns School of Medicine, University of Hawai'i

Anthony P. Guerrero, MD is Professor and Chair of Psychiatry and Clinical Professor of Pediatrics at the University of Hawai'i John A. Burns School of Medicine. Within the department, he has served as a director of medical student education, as child and adolescent psychiatry division director and fellowship program director, and as division director and associate chair for education and training.  He currently also serves as Clinical Program Chief of Psychiatry at the Queen's Medical Center and formerly served as Medical Executive Committee Representative for psychiatry at Kapi‘olani Medical Center for Women and Children. He has published and presented in the areas of structured tools for problem-based learning, creative approaches to psychiatric education, Filipino and Asian/Pacific Islander mental health and workforce development, and the interface between primary care and psychiatry. 

About the collection

BMC Medical Education welcomed submissions to a Collection entitled “Artificial intelligence in medical and professional health education.” This Collection aims to explore the dynamic intersection between artificial intelligence and medical education to promote the efficacy of international healthcare practitioners and the care they can provide to their patients.

Artificial intelligence is rapidly transforming all areas of healthcare, and medical education is no exception. This Collection seeks to examine the ways in which AI is changing the landscape of medical education, from its role in training medical students to its impact on continuing education and professional development for healthcare providers.

Interdisciplinary research on this topic has the potential to significantly improve patient outcomes and overall quality of care. In medical training and educational environments, AI-powered virtual patient simulations have been shown to improve the clinical decision-making abilities of medical students and contribute to improved patient safety and outcomes. Continued research in this area could lead to even more innovative applications of AI in medical education, such as personalized learning algorithms that adapt to the unique needs of individual learners. By improving the quality of medical education in classrooms and beyond, this research has the potential to revolutionize medical education and lead to improved quality of care for patients worldwide.

We invited the submission of innovative new research that contributes to that goal. The scope of this Collection includes, but is not limited to, the following topics:
  •  Incorporating artificial intelligence into medical education curriculums
  •  AI-powered simulation-based training, personalized learning, student assessments, and evaluation methods
  •  The integration of AI into continuing education and professional development for healthcare providers, such as AI-powered decision support systems and virtual patient simulations
  •  Ethical and social implications of AI in medical education, including issues of bias, privacy, and patient autonomy
  •  Innovative applications of AI in medical education
  •  Theories behind the use of AI in medical education and training

We welcomed contributions from diverse perspectives, including healthcare professionals, medical educators, social scientists, and computer scientists. Further, we hope to include occupational research on dentistry, pharmacy, nursing, physiotherapy, occupational therapy, speech pathology, psychology, midwifery, oral therapy, paramedicine, and optometry. Our goal is to create a vibrant and interdisciplinary Collection that highlights the latest research and developments in AI and medical education.


Image credit: gorodenkoff / Getty Images / iStock

  1. Since the release of ChatGPT, numerous positive applications for this artificial intelligence (AI) tool in higher education have emerged. Faculty can reduce workload by implementing the use of AI. While course...

    Authors: Kathryn A. Fuller, Kathryn A. Morbitzer, Jacqueline M. Zeeman, Adam M. Persky, Amanda C. Savage and Jacqueline E. McLaughlin
    Citation: BMC Medical Education 2024 24:423
  2. Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthal...

    Authors: Hamidreza Amiri, Samira Peiravi, Seyedeh sara rezazadeh shojaee, Motahareh Rouhparvarzamin, Mohammad Naser Nateghi, Mohammad Hossein Etemadi, Mahdie ShojaeiBaghini, Farhan Musaie, Mohammad Hossein Anvari and Mahsa Asadi Anar
    Citation: BMC Medical Education 2024 24:412
  3. Artificial intelligence (AI) is becoming increasingly important in healthcare. It is therefore crucial that today’s medical students have certain basic AI skills that enable them to use AI applications success...

    Authors: Matthias Carl Laupichler, Alexandra Aster, Marcel Meyerheim, Tobias Raupach and Marvin Mergen
    Citation: BMC Medical Education 2024 24:401
  4. Finding time in the medical curriculum to focus on motivational interviewing (MI) training is a challenge in many medical schools. We developed a software-based training tool, “Real-time Assessment of Dialogue...

    Authors: Paul J. Hershberger, Yong Pei, Dean A. Bricker, Timothy N. Crawford, Ashutosh Shivakumar, Angie Castle, Katharine Conway, Raveendra Medaramitta, Maria Rechtin and Josephine F. Wilson
    Citation: BMC Medical Education 2024 24:237
  5. Artificial intelligence (AI) is gradually transforming the practises of healthcare providers. Over the last two decades, the advent of AI into numerous aspects of pathology has opened transformative possibilit...

    Authors: Lena Jafri, Arsala Jameel Farooqui, Janet Grant, Usmaan Omer, Rodney Gale, Sibtain Ahmed, Aysha Habib Khan, Imran Siddiqui, Farooq Ghani and Hafsa Majid
    Citation: BMC Medical Education 2024 24:170
  6. Large language models like ChatGPT have revolutionized the field of natural language processing with their capability to comprehend and generate textual content, showing great potential to play a role in medic...

    Authors: Hui Zong, Jiakun Li, Erman Wu, Rongrong Wu, Junyu Lu and Bairong Shen
    Citation: BMC Medical Education 2024 24:143
  7. Artificial intelligence-based large language models, like ChatGPT, have been rapidly assessed for both risks and potential in health-related assessment and learning. However, their applications in public healt...

    Authors: Nathan P Davies, Robert Wilson, Madeleine S Winder, Simon J Tunster, Kathryn McVicar, Shivan Thakrar, Joe Williams and Allan Reid
    Citation: BMC Medical Education 2024 24:57
  8. Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and qualit...

    Authors: Shuroug A. Alowais, Sahar S. Alghamdi, Nada Alsuhebany, Tariq Alqahtani, Abdulrahman I. Alshaya, Sumaya N. Almohareb, Atheer Aldairem, Mohammed Alrashed, Khalid Bin Saleh, Hisham A. Badreldin, Majed S. Al Yami, Shmeylan Al Harbi and Abdulkareem M. Albekairy
    Citation: BMC Medical Education 2023 23:689

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence in medical and professional health education" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.