Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medical education. The use of artificial intelligence (AI) engines to generate content in academic spaces is controversial and has been meet with swift responses and guidance from academic journals and publishers regarding the appropriate use or disclosure of use of AI engines in professional writing. To date, there is no guidance to applicants of graduate medical education programs in using AI engines to generate application content-primarily personal statements and letters of recommendation. In this Perspective, we review perceptions of using AI to generate application content, considerations for the impact of AI in holistic application review, ethical challenges regarding plagiarism, and AI text classifiers. Finally, included are recommendations to the graduate medical education community to provide guidance on use of AI engines in applications to maintain the integrity of the application process in graduate medical education.
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http://dx.doi.org/10.34197/ats-scholar.2024-0038PS | DOI Listing |
JAMA Netw Open
January 2025
Clayman Institute for Gender Research, Department of Medicine, Stanford University, Palo Alto, California.
Gerontologist
January 2025
Department of Health & Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Background And Objectives: People living with dementia experience progressive functional decline and increased dependence on caregivers. This study examined the influence of caregivers' dementia health literacy on perceptions of medical care preferences and advanced care planning (ACP) in people living with dementia.
Research Design And Methods: This analysis used data from a cross-sectional survey, "Care Planning for Individuals with Dementia", administered nationwide by Alzheimer's Disease Centers.
QJM
January 2025
Department of Emergency General Medicine, Mimihara General Hospital.
J Nephrol
January 2025
Division of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Background: Climate change poses a significant risk to kidney health, and countries with lower national wealth are more vulnerable. Yet, citizens from lower-income countries demonstrate less concern for climate change than those from higher-income countries. Education is a key covariate.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Purpose: The positron range effect can impair PET image quality of Gallium-68 (Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for Ga was investigated on patient data.
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