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Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions
JMIR Medical Education, 2023 The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and ...
Alaa A. Abd-alrazaq +9 more
semanticscholar +1 more source
ChatGPT - Reshaping medical education and clinical management
Pakistan Journal of Medical Sciences, 2023 Artificial Intelligence is no more the talk of the fiction read in novels or seen in movies. It has been making inroads slowly and gradually in medical education and clinical management of patients apart from all other walks of life.
R. Khan +3 more
semanticscholar +1 more source
Academic medicine : journal of the Association of American Medical Colleges, 2023 ChatGPT has ushered in a new era of artificial intelligence (AI) that already has significant consequences for many industries, including health care and education.
C. Boscardin +3 more
semanticscholar +1 more source
JMIR Medical Education, 2023 Background Generative artificial intelligence (AI) technologies are increasingly being utilized across various fields, with considerable interest and concern regarding their potential application in medical education. These technologies, such as Chat GPT
C. Preiksaitis, Christian Rose
semanticscholar +1 more source
Expert Consensus on Prevention and Treatment of COVID-19 Infection in Patients with Lung Cancer
Chinese Journal of Lung Cancer, 2023 Corona virus disease 2019 (COVID-19) infection has become a major public health issue affecting human health. The main goal of epidemic prevention and control at the current stage in China is to “protect people’s health and prevent severe cases ...
Non-small Cell Lung Cancer Expert Committee of Chinese Society of Clinical Oncology +1 more
doaj +1 more source
The future of medical education and research: Is ChatGPT a blessing or blight in disguise?
Medical Education Online, 2023 To the editor, With the rapid evolution of scientific literature and technology, experts rely more on new artificial intelligence models for convenience and easy access to needs.
T. Arif, Uzair Munaf, Ibtehaj Ul-Haque
semanticscholar +1 more source
Prompt Engineering in Medical Education
International Medical Education, 2023 Artificial intelligence-powered generative language models (GLMs), such as ChatGPT, Perplexity AI, and Google Bard, have the potential to provide personalized learning, unlimited practice opportunities, and interactive engagement 24/7, with immediate ...
Thomas F. Heston, Charya Khun
semanticscholar +1 more source
The digital use of simulated patients in times of the corona pandemic – considerations and proposals
GMS Journal for Medical Education, 2020 The corona pandemic has posed major challenges for teaching with simulated persons (SPs), which usually requires the physical presence of the participants. Within a short period of time, a large number of individual solutions were developed.
Peters, Tim +2 more
doaj +1 more source
The Advent of Generative Language Models in Medical Education
JMIR Medical Education, 2023 Artificial intelligence (AI) and generative language models (GLMs) present significant opportunities for enhancing medical education, including the provision of realistic simulations, digital patients, personalized feedback, evaluation methods, and the ...
Mert Karabacak +4 more
semanticscholar +1 more source
The Role of Large Language Models in Medical Education: Applications and Implications
JMIR Medical Education, 2023 Large language models (LLMs) such as ChatGPT have sparked extensive discourse within the medical education community, spurring both excitement and apprehension.
Conrad W. Safranek +3 more
semanticscholar +1 more source