Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices

Background The integration of large language models (LLMs) into medical education has received increasing attention as a potential tool to enhance learning experiences. However, there remains a need to explore radiology postgraduate students' engagement with LLMs and their perception...

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Main Authors: Pradosh Kumar Sarangi, Braja Behari Panda, Sanjay P., Debabrata Pattanayak, Swaha Panda, Himel Mondal
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2025-01-01
Series:Indian Journal of Radiology and Imaging
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1788605
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author Pradosh Kumar Sarangi
Braja Behari Panda
Sanjay P.
Debabrata Pattanayak
Swaha Panda
Himel Mondal
author_facet Pradosh Kumar Sarangi
Braja Behari Panda
Sanjay P.
Debabrata Pattanayak
Swaha Panda
Himel Mondal
author_sort Pradosh Kumar Sarangi
collection DOAJ
description Background The integration of large language models (LLMs) into medical education has received increasing attention as a potential tool to enhance learning experiences. However, there remains a need to explore radiology postgraduate students' engagement with LLMs and their perceptions of their utility in medical education. Hence, we conducted this study to investigate radiology postgraduate students' knowledge, attitudes, and practices regarding LLMs in medical education.
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institution Kabale University
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language English
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publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
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series Indian Journal of Radiology and Imaging
spelling doaj-art-2f7dca8a1a7441b8ba607d4cea8e49b12024-12-17T23:49:09ZengThieme Medical and Scientific Publishers Pvt. Ltd.Indian Journal of Radiology and Imaging0971-30261998-38082025-01-01350103504210.1055/s-0044-1788605Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and PracticesPradosh Kumar Sarangi0https://orcid.org/0000-0002-9434-946XBraja Behari Panda1Sanjay P.2https://orcid.org/0000-0002-9566-9000Debabrata Pattanayak3https://orcid.org/0009-0007-9718-6372Swaha Panda4https://orcid.org/0009-0000-9657-8672Himel Mondal5https://orcid.org/0000-0001-6950-5857Department of Radiodiagnosis, All India Institute of Medical Sciences, Deoghar, Jharkhand, IndiaDepartment of Radiodiagnosis, Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, IndiaDepartment of Radiodiagnosis, Mysore Medical College and Research Institute, Mysore, IndiaDepartment of Radiodiagnosis, Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, IndiaDepartment of Otorhinolaryngology and Head and Neck Surgery, All India Institute of Medical Sciences, Deoghar, Jharkhand, IndiaDepartment of Physiology, All India Institute of Medical Sciences, Deoghar, Jharkhand, India Background The integration of large language models (LLMs) into medical education has received increasing attention as a potential tool to enhance learning experiences. However, there remains a need to explore radiology postgraduate students' engagement with LLMs and their perceptions of their utility in medical education. Hence, we conducted this study to investigate radiology postgraduate students' knowledge, attitudes, and practices regarding LLMs in medical education.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1788605medical studentsradiologyartificial intelligencelarge language modelChatGPTmedical education
spellingShingle Pradosh Kumar Sarangi
Braja Behari Panda
Sanjay P.
Debabrata Pattanayak
Swaha Panda
Himel Mondal
Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
Indian Journal of Radiology and Imaging
medical students
radiology
artificial intelligence
large language model
ChatGPT
medical education
title Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
title_full Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
title_fullStr Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
title_full_unstemmed Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
title_short Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices
title_sort exploring radiology postgraduate students engagement with large language models for educational purposes a study of knowledge attitudes and practices
topic medical students
radiology
artificial intelligence
large language model
ChatGPT
medical education
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1788605
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