AIMC Topic: Large Language Models
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Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.
Drug and alcohol dependence
Jul 1, 2025
OBJECTIVE: Young adults face elevated risks from alcohol use yet encounter significant barriers to accessing evidence-based interventions. Large language models (LLMs) represent a promising advancement for delivering personalized behavioral intervent...
A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
BACKGROUND: Automated data extraction from echocardiography reports could facilitate large-scale registry creation and clinical surveillance of valvular heart diseases (VHD). We evaluated the performance of open-source large language models (LLMs) gu...
The Evolution of Radiology Image Annotation in the Era of Large Language Models.
Radiology. Artificial intelligence
Jul 1, 2025
Although there are relatively few diverse, high-quality medical imaging datasets on which to train computer vision artificial intelligence models, even fewer datasets contain expertly classified observations that can be repurposed to train or test su...
Automated computation of the HEART score with the GPT-4 large language model.
The American journal of emergency medicine
Jul 1, 2025
BACKGROUND: Automated computation of the HEART score has the potential to facilitate clinical decision support and safety interventions. The goal of this study was to assess the performance of the GPT-4 large language model (LLM) in computation of th...
Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology.
International journal of medical informatics
Jul 1, 2025
OBJECTIVE: To design, implement, evaluate, and quantify a novel and adaptable Artificial Intelligence-empowered methodology aimed at supporting a dermatologist's workflow in assessing and diagnosing skin conditions, leveraging AI's deep image analyti...
Using large language models as decision support tools in emergency ophthalmology.
International journal of medical informatics
Jul 1, 2025
BACKGROUND: Large language models (LLMs) have shown promise in various medical applications, but their potential as decision support tools in emergency ophthalmology remains unevaluated using real-world cases.
Can a Large Language Model Interpret Data in the Electronic Health Record to Infer Minimum Clinically Important Difference Achievement of Knee Osteoarthritis Outcome Score-Joint Replacement Score Following Total Knee Arthroplasty?
The Journal of arthroplasty
Jul 1, 2025
BACKGROUND: Obtaining total knee arthroplasty patient-reported outcomes for quality assessment is costly and difficult. We asked whether a large language model (LLM) could interpret electronic health record notes to differentiate patients attaining a...
Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jul 1, 2025
OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a tailored approach for patients and families. With artificial intelligence (AI) gaining traction in medical applications, this study evaluates the qua...
SAF: An action framework to self-check the Understanding Self-Consistency of Large Language Models.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Large Language Models (LLMs), which are trained on massive text data, have demonstrated remarkable advancements in language understanding capabilities. Nevertheless, it remains unclear to what extent LLMs have effectively captured and utilized the im...
Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Jul 1, 2025
OBJECTIVE: This study aimed to evaluate the reliability, consistency, and readability of responses provided by various artificial intelligence (AI) programs to questions related to Restorative Dentistry.
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