AIMC Topic: Large Language Models
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Automated generation of discharge summaries: leveraging large language models with clinical data.
Scientific reports
May 12, 2025
This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical data. The structured data used to produce AI-generated summaries were manually extracted from electr...
Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation.
BMC medical research methodology
May 10, 2025
BACKGROUND: Systematic reviews (SRs) are essential to formulate evidence-based guidelines but require time-consuming and costly literature screening. Large Language Models (LLMs) can be a powerful tool to expedite SRs.
Derivational morphology reveals analogical generalization in large language models.
Proceedings of the National Academy of Sciences of the United States of America
May 9, 2025
What mechanisms underlie linguistic generalization in large language models (LLMs)? This question has attracted considerable attention, with most studies analyzing the extent to which the language skills of LLMs resemble rules. As of yet, it is not k...
The Applications of Large Language Models in Mental Health: Scoping Review.
Journal of medical Internet research
May 5, 2025
BACKGROUND: Mental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detection methods, effective treatments, affordable privacy-focused health care solutions, and increased ...
Dedicated AI Expert System vs Generative AI With Large Language Model for Clinical Diagnoses.
JAMA network open
May 1, 2025
IMPORTANCE: Large language models (LLMs) have not yet been compared with traditional diagnostic decision support systems (DDSSs) on unpublished clinical cases.
Perspectives and Experiences With Large Language Models in Health Care: Survey Study.
Journal of medical Internet research
May 1, 2025
BACKGROUND: Large language models (LLMs) are transforming how data is used, including within the health care sector. However, frameworks including the Unified Theory of Acceptance and Use of Technology highlight the importance of understanding the fa...
Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models.
Journal of neurodevelopmental disorders
Apr 30, 2025
BACKGROUND: Functional biomarkers in neurodevelopmental disorders, such as verbal and ambulatory abilities, are essential for clinical care and research activities. Treatment planning, intervention monitoring, and identifying comorbid conditions in i...
Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study.
Journal of medical Internet research
Apr 30, 2025
BACKGROUND: The COVID-19 pandemic has been accompanied by an "infodemic," where the rapid spread of misinformation has exacerbated public health challenges. Traditional fact-checking methods, though effective, are time-consuming and resource-intensiv...
Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis.
Journal of medical Internet research
Apr 30, 2025
BACKGROUND: Large language models (LLMs) have flourished and gradually become an important research and application direction in the medical field. However, due to the high degree of specialization, complexity, and specificity of medicine, which resu...
Harnessing an Artificial Intelligence-Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study.
Journal of medical Internet research
Apr 30, 2025
BACKGROUND: Myocardial infarction (MI) remains a leading cause of morbidity and mortality worldwide. Although postsurgical cardiac interventions have improved survival rates, effective management during recovery remains challenging. Traditional infor...
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