AIMC Topic: Large Language Models
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Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study.
Journal of medical Internet research
Apr 3, 2025
BACKGROUND: Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various natural language processing tasks, particularly in text generation. However, their effectiveness in summarizing radiology report impressio...
Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.
IEEE transactions on medical imaging
Apr 3, 2025
Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and thus serves as one of the golden standards for Alzheimer's disease (AD) diagnosis. However, its practical cost and high radioactivity hinder its applic...
Personalized glucose forecasting for people with type 1 diabetes using large language models.
Computer methods and programs in biomedicine
Apr 2, 2025
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous insulin via Multiple Daily Injections (MDIs) or subcutaneous pumps to maintain targeted glucose levels. Despite the advances in Continuous Glucose Monito...
Enhancing data quality in medical concept normalization through large language models.
Journal of biomedical informatics
Apr 1, 2025
OBJECTIVE: Medical concept normalization (MCN) aims to map informal medical terms to formal medical concepts, a critical task in building machine learning systems for medical applications. However, most existing studies on MCN primarily focus on mode...
DALL-M: Context-aware clinical data augmentation with large language models.
Computers in biology and medicine
Apr 1, 2025
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical context. Radiologists often find chest X-rays insufficient for diagnosing underlying diseases, necessitating the integration of structured clinical fea...
Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE.
JAMA network open
Apr 1, 2025
IMPORTANCE: Large language models (LLMs) are being implemented in health care. Enhanced accuracy and methods to maintain accuracy over time are needed to maximize LLM benefits.
Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators.
Journal of medical Internet research
Apr 1, 2025
BACKGROUND: Large language model (LLM) artificial intelligence (AI) tools have the potential to streamline health care administration by enhancing efficiency in document drafting, resource allocation, and communication tasks. Despite this potential, ...
Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.
Computers, informatics, nursing : CIN
Apr 1, 2025
All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intelligence tools. Recent research has shown the difficulty in distinguishing artificial intelligence-gener...
Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions.
The American journal of emergency medicine
Mar 27, 2025
BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact healthcare. Chest X-rays are essential for diagnosing acute thoracic conditions in the emergency department (ED), but interpretation delays due to radiologi...
The use of AI large language models by university students for assignment preparation.
Advances in physiology education
Mar 25, 2025
Using an opportunity where students were explicitly permitted to use artificial intelligence (AI) applications to prepare an assignment, we compared the practices and beliefs of two distinct student cohorts: second-year science students at a large me...
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