AIMC Topic: Large Language Models

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Active learning for extracting rare adverse events from electronic health records: A study in pediatric cardiology.

International journal of medical informatics Dec 12, 2024
OBJECTIVE: Automate the extraction of adverse events from the text of electronic medical records of patients hospitalized for cardiac catheterization.
Electronic Health Records Deep Learning Cardiac Catheterization Large Language Models Cardiology Data Mining Pediatrics Data Curation
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Performance and Reproducibility of Large Language Models in Named Entity Recognition: Considerations for the Use in Controlled Environments.

Drug safety Dec 11, 2024
INTRODUCTION: Recent artificial intelligence (AI) advances can generate human-like responses to a wide range of queries, making them a useful tool for healthcare applications. Therefore, the potential use of large language models (LLMs) in controlled...
Language Reproducibility of Results Natural Language Processing Large Language Models Humans Artificial Intelligence
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Treatment Outcome Predictive Value of Tests Natural Language Processing Middle Aged Time Factors Lung Neoplasms Microwaves Recurrence Large Language Models Feasibility Studies Neoplasm Recurrence, Local Data Mining Retrospective Studies Electronic Health Records Female Reproducibility of Results Aged Male Humans Hemoptysis Hemothorax Ablation Techniques Pneumothorax
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Coherence and comprehensibility: Large language models predict lay understanding of health-related content.

Journal of biomedical informatics Dec 9, 2024
Health literacy is a prerequisite to informed health-related decision making. To facilitate understanding of information, text should be presented at an appropriate reading level for the reader. Cognitive studies suggest that the coherence of a text ...
Health Literacy Reading Semantics Comprehension Large Language Models Humans Language Female Adult Male Natural Language Processing
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CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models.

IEEE journal of biomedical and health informatics Dec 5, 2024
The global prevalence of mental health disorders is increasing, leading to a significant economic burden estimated in trillions of dollars. In automated mental health diagnosis, the scarcity and imbalance of clinical data pose considerable challenges...
Humans Machine Learning Stress Disorders, Post-Traumatic Algorithms Natural Language Processing Mental Disorders Large Language Models Electronic Health Records
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Large Language Models with Vision on Diagnostic Radiology Board Exam Style Questions.

Academic radiology Dec 4, 2024
RATIONALE AND OBJECTIVES: The expansion of large language models to process images offers new avenues for application in radiology. This study aims to assess the multimodal capabilities of contemporary large language models, which allow analysis of i...
Educational Measurement Radiology Large Language Models Humans Retrospective Studies Specialty Boards Language
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Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus.

Eye & contact lens Dec 4, 2024
OBJECTIVES: Large language models (LLMs) are increasingly being used today and are becoming increasingly important for providing accurate clinical information to patients and physicians. This study aimed to evaluate the effectiveness of generative pr...
Male Female Humans Keratoconus Surveys and Questionnaires Reproducibility of Results Software Internet Adult Generative Artificial Intelligence Language Large Language Models
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Multi-modal large language models in radiology: principles, applications, and potential.

Abdominal radiology (New York) Dec 2, 2024
Large language models (LLMs) and multi-modal large language models (MLLMs) represent the cutting-edge in artificial intelligence. This review provides a comprehensive overview of their capabilities and potential impact on radiology. Unlike most exist...
Humans Large Language Models Artificial Intelligence Language Radiology Workflow
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Large Language Model Enhanced Logic Tensor Network for Stance Detection.

Neural networks : the official journal of the International Neural Network Society Nov 29, 2024
Social media platforms, rich in user-generated content, offer a unique perspective on public opinion, making stance detection an essential task in opinion mining. However, traditional deep neural networks for stance detection often suffer from limita...
Language Large Language Models Social Media Humans Logic Neural Networks, Computer
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Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Nov 29, 2024
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical disciplines; however, few have focused on image analysis, and none specifically on cardiovascular imaging or nuclear cardiology. This study assesses four LL...
Cardiology Specialty Boards Certification Nuclear Medicine Language Clinical Competence Large Language Models Humans Artificial Intelligence
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