AIMC Topic: Large Language Models
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User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study.
JMIR human factors
May 26, 2025
BACKGROUND: Generative artificial intelligence (AI)-particularly large language models (LLMs)-has generated unprecedented interest in applications ranging from everyday questions and answers to health-related inquiries. However, little is known about...
Dual retrieving and ranking medical large language model with retrieval augmented generation.
Scientific reports
May 24, 2025
Recent advancements in large language models (LLMs) have significantly enhanced text generation across various sectors; however, their medical application faces critical challenges regarding both accuracy and real-time responsiveness. To address thes...
Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty.
BMC medical informatics and decision making
May 23, 2025
BACKGROUND: The application of artificial intelligence (AI) in medical education and patient interaction is rapidly growing. Large language models (LLMs) such as GPT-3.5, GPT-4, Google Gemini, and Claude 3 Opus have shown potential in providing relev...
AI for Tobacco Control: Identifying Tobacco-Promoting Social Media Content Using Large Language Models.
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
May 22, 2025
INTRODUCTION: Tobacco companies use social media to bypass marketing restrictions. Studies show that exposure to tobacco promotion on social media influences subsequent smoking behavior, yet it is challenging to monitor such content. We developed an ...
Modern artificial intelligence and large language models in graduate medical education: a scoping review of attitudes, applications & practice.
BMC medical education
May 20, 2025
BACKGROUND: Artificial intelligence (AI) holds transformative potential for graduate medical education (GME), yet, a comprehensive exploration of AI's applications, perceptions, and limitations in GME is lacking.
Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.
Journal of medical systems
May 17, 2025
Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care providers, particularly in emergency care settings where rapid and accurate record-keeping is crucial. A critical aspect of this automation involves ...
Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.
Studies in health technology and informatics
May 15, 2025
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...
Utilizing Large Language Models to Monitor Social Media for Disability: An Analysis of Sentiment and Disability Models in Tweets.
Studies in health technology and informatics
May 15, 2025
This study explores how well large language models (like the kind that powers ChatGPT) can analyze online conversations about disability rights. We specifically looked at whether these models could: 1) identify if tweets about people with disabilitie...
Exploring Data Science Students' Engagement, Usage Patterns, and Perceptions of Large Language Models in Programming.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students....
Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...
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