Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes
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 educati...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1517981/full |
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| author | Santosh Chokkakula Siomui Chong Siomui Chong Siomui Chong Bing Yang Bing Yang Hong Jiang Juan Yu Ruiqin Han Idress Hamad Attitalla Chengliang Yin Shuyao Zhang |
| author_facet | Santosh Chokkakula Siomui Chong Siomui Chong Siomui Chong Bing Yang Bing Yang Hong Jiang Juan Yu Ruiqin Han Idress Hamad Attitalla Chengliang Yin Shuyao Zhang |
| author_sort | Santosh Chokkakula |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-acedf4e3662a4089bd7e86234f7fbe65 |
| institution | OA Journals |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-acedf4e3662a4089bd7e86234f7fbe652025-08-20T02:19:53ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-04-011210.3389/fmed.2025.15179811517981Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytesSantosh Chokkakula0Siomui Chong1Siomui Chong2Siomui Chong3Bing Yang4Bing Yang5Hong Jiang6Juan Yu7Ruiqin Han8Idress Hamad Attitalla9Chengliang Yin10Shuyao Zhang11Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk, Republic of KoreaDepartment of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, ChinaDepartment of Dermatology, The First Affiliated Hospital of Jinan University andJinan University Institute of Dermatology, Guangzhou, Guangdong, ChinaInstitute of Collaborative Innovation, University of Macau, Macao SAR, ChinaDepartment of Cell Biology, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, ChinaDepartment of Public Health, International School, Krirk University, Bangkok, ThailandStatistical Office, Department of Operations, Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, Zhuhai, ChinaDepartment of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen, ChinaState Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China0Department of Microbiology, Faculty of Science, Omar Al-Mukhtar University, AL-Bayda, Libya1Medical Innovation Research Department, Chinese PLA General Hospital, Beijing, China2Department of Pharmacy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, ChinaChatGPT, 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.https://www.frontiersin.org/articles/10.3389/fmed.2025.1517981/fullartificial intelligenceChatGPTevidence-based medicinehealthcare technologypersonalized learningclinical problem-solving |
| spellingShingle | Santosh Chokkakula Siomui Chong Siomui Chong Siomui Chong Bing Yang Bing Yang Hong Jiang Juan Yu Ruiqin Han Idress Hamad Attitalla Chengliang Yin Shuyao Zhang Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes Frontiers in Medicine artificial intelligence ChatGPT evidence-based medicine healthcare technology personalized learning clinical problem-solving |
| title | Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes |
| title_full | Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes |
| title_fullStr | Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes |
| title_full_unstemmed | Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes |
| title_short | Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes |
| title_sort | quantum leap in medical mentorship exploring chatgpt s transition from textbooks to terabytes |
| topic | artificial intelligence ChatGPT evidence-based medicine healthcare technology personalized learning clinical problem-solving |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1517981/full |
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