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REVIEW article
Front. Med.
Sec. Healthcare Professions Education
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1517981
This article is part of the Research Topic GenAI in Healthcare: Technologies, Applications and Evaluation View all 3 articles
Quantum Leap in Medical Mentorship: Exploring ChatGPT's Transition from Textbooks to Terabytes
Provisionally accepted
Santosh Chokkakula 1
Sio Mui Chong 2
Bing Yang 3
Jiang Hong 2
Juan Yu 4
Ruiqin Han 5
Shuyao Zhang 2
Chengliang Yin 6*- 1 College of Medicine, Chungbuk National University, Cheongju, North Chungcheong, Republic of Korea
- 2 Jinan University, Guangzhou, Guangdong Province, China
- 3 Tianjin Medical University, Tianjin, Tianjin Municipality, China
- 4 Shenzhen Second People's Hospital, Shenzhen, Guangdong Province, China
- 5 Chinese Academy of Medical Sciences and Peking Union Medical College, Dongcheng, Beijing Municipality, China
- 6 Faculty of Medicine, Macau University of Science and Technology, Macau, Macao, SAR China
ChatGPT, an advanced AI language model, presents a transformative opportunity in several fields including the medical education. This article examines the integration of ChatGPT into healthcare learning environments, exploring its potential to revolutionize knowledge acquisition, personalize education, support curriculum development, and enhance clinical reasoning. The AI's ability to swiftly access and synthesize medical information across various specialties offers significant value to students and professionals alike. It provides rapid answers to queries on medical theories, treatment guidelines, and diagnostic methods, potentially accelerating the learning curve. The paper emphasizes the necessity of verifying ChatGPT's outputs against authoritative medical sources. A key advantage highlighted is the AI's capacity to tailor learning experiences by assessing individual needs, accommodating diverse learning styles, and offering personalized feedback. The article also considers ChatGPT's role in shaping curricula and assessment techniques, suggesting that educators may need to adapt their methods to incorporate AI-driven learning tools. Additionally, it explores how ChatGPT could bolster clinical problem-solving through AI-powered simulations, fostering critical thinking and diagnostic acumen among students. While recognizing ChatGPT's transformative potential in medical education, the article stresses the importance of thoughtful implementation, continuous validation, and the establishment of protocols to ensure its responsible and effective application in healthcare education settings.
Keywords: artificial intelligence, ChatGPT, Evidence-Based Medicine, healthcare technology, personalized learning, Clinical Problem-Solving, Digital Literacy and Privacy
Received: 27 Oct 2024; Accepted: 28 Feb 2025.
Copyright: © 2025 Chokkakula, Chong, Yang, Hong, Yu, Han, Zhang and Yin. 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:
Chengliang Yin, Faculty of Medicine, Macau University of Science and Technology, Macau, Macao, SAR China
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.