Results 11 to 20 of about 12,904,370 (340)

Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

open access: yesmedRxiv, 2022
We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the passing threshold for all three exams
Tiffany H. Kung   +10 more
semanticscholar   +1 more source

How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

open access: yesJMIR Medical Education, 2023
Background Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that can generate conversation-style responses to user input.
Aidan Gilson   +6 more
semanticscholar   +1 more source

Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions

open access: yesJMIR 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

The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers

open access: yesJMIR Medical Education, 2023
ChatGPT is a generative language model tool launched by OpenAI on November 30, 2022, enabling the public to converse with a machine on a broad range of topics.
G. Eysenbach
semanticscholar   +1 more source

ChatGPT - Reshaping medical education and clinical management

open access: yesPakistan 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

Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review

open access: yesJMIR 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

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity

open access: yesAcademic 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

Prompt Engineering in Medical Education

open access: yesInternational 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 Role of Large Language Models in Medical Education: Applications and Implications

open access: yesJMIR 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

The future of medical education and research: Is ChatGPT a blessing or blight in disguise?

open access: yesMedical 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

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