Skip to main content

PERSPECTIVE article

Front. Digit. Health
Sec. Ethical Digital Health
Volume 6 - 2024 | doi: 10.3389/fdgth.2024.1458811
This article is part of the Research Topic Digital Health Innovation and Regulatory Developments View all articles

AI's Pivotal Impact on redefining Stakeholder roles and their Interactions in Medical Education and Health Care

Provisionally accepted
Hadar Arien Zakay Hadar Arien Zakay 1*Jayne S. Reuben Jayne S. Reuben 2Hila Meiri Hila Meiri 3,4
  • 1 School of Pharmacy, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
  • 2 College of Dentistry, Texas A&M University, Dallas, Texas, United States
  • 3 Cedars Sinai Medical Center, Los Angeles, California, United States
  • 4 Sheba Cancer Center, Sheba Medical Center, Tel Hashomer, Israel

The final, formatted version of the article will be published soon.

    Artificial Intelligence (AI) has the potential to revolutionize medical training, diagnostics, treatment planning, and healthcare delivery while also bringing challenges such as data privacy, the risk of technological overreliance, and the preservation of critical thinking. This manuscript explores the impact of AI and Machine Learning (ML) on healthcare interactions, focusing on faculty, students, clinicians, and patients. AI and ML's early inclusion in the medical curriculum will support student-centered learning; however, all stakeholders will require specialized training to bridge the gap between medical practice and technological innovation. This underscores the importance of education in the ethical and responsible use of AI and emphasizing collaboration to maximize its benefits. This manuscript calls for a re-evaluation of interpersonal relationships within healthcare to improve the overall quality of care and safeguard the welfare of all stakeholders by leveraging AI's strengths and managing its risks.

    Keywords: Medical Education 1, artificial intelligence 2, AI 3, machine learning 4, healthcare 5

    Received: 03 Jul 2024; Accepted: 04 Oct 2024.

    Copyright: © 2024 Arien Zakay, Reuben and Meiri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hadar Arien Zakay, School of Pharmacy, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.