AIMC Topic: Large Language Models

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Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Scientific reports Jul 1, 2025
Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and quality of responses generated by ChatGPT-4, an LLM-driven chatbot, compared to those written by physi...
Large Language Models Otolaryngology Generative Artificial Intelligence Social Media Humans Physicians Female Male Language
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Large language models provide discordant information compared to ophthalmology guidelines.

Scientific reports Jul 1, 2025
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by the American Academy of Ophthalmology (AAO). Open questions based on the AAO PPP were submitted to five LLMs: GPT-o1 and GPT-4o by OpenAI, Claude 3.5...
Humans Language Practice Guidelines as Topic Large Language Models Ophthalmology
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A publicly available benchmark for assessing large language models' ability to predict how humans balance self-interest and the interest of others.

Scientific reports Jul 1, 2025
Large language models (LLMs) hold enormous potential to assist humans in decision-making processes, from everyday to high-stake scenarios. However, as many human decisions carry social implications, for LLMs to be reliable assistants a necessary prer...
Female Adult Humans Language Benchmarking Large Language Models Male Decision Making
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Leveraging large language models for patient-ventilator asynchrony detection.

BMJ health & care informatics Jun 27, 2025
OBJECTIVES: The objective of this study is to evaluate whether large language models (LLMs) can achieve performance comparable to expert-developed deep neural networks in detecting flow starvation (FS) asynchronies during mechanical ventilation.
Humans Respiration, Artificial Large Language Models Patient-Ventilator Asynchrony Neural Networks, Computer Language
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Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model-Assisted Content Analysis: Mixed Methods Study.

JMIR formative research Jun 27, 2025
BACKGROUND: Large language model (LLM)-assisted content analysis (LACA) is a modification of traditional content analysis, leveraging the LLM to codevelop codebooks and automatically assign thematic codes to a web-based reviews dataset.
Internet Patient Satisfaction Hospitals, Private Large Language Models Malaysia Natural Language Processing Humans Reproducibility of Results
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Biased echoes: Large language models reinforce investment biases and increase portfolio risks of private investors.

PloS one Jun 27, 2025
Large language models are increasingly used by private investors seeking financial advice. The current paper examines the potential of these models to perpetuate investment biases and affect the economic security of individuals at scale. We provide a...
Humans Language Large Language Models Models, Economic Investments
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Large Language Model-Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study.

Journal of medical Internet research Jun 24, 2025
BACKGROUND: The revised Risk-of-Bias tool (RoB2) overcomes the limitations of its predecessor but introduces new implementation challenges. Studies demonstrate low interrater reliability and substantial time requirements for RoB2 implementation. Larg...
Randomized Controlled Trials as Topic Bias Large Language Models Reproducibility of Results Humans Risk Assessment Language
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[Large language models in healthcare].

Nederlands tijdschrift voor geneeskunde Jun 24, 2025
Large language models, AI-based models that can generate language and which are optimized for human interaction, are widely available and also offer opportunities for healthcare. Yet, they also raise important questions about their quality and ethica...
Large Language Models Delivery of Health Care Language Humans Artificial Intelligence
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A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients.

Journal of biomedical informatics Jun 20, 2025
OBJECTIVE: Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care. Recent advancements in large language models (LLMs) have s...
Humans Patient Discharge Summaries Large Language Models Male Lung Neoplasms Patient Discharge Semantics Natural Language Processing Female Aged Electronic Health Records Language
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Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement.

Journal of biomedical informatics Jun 19, 2025
OBJECTIVE: Ontologies are essential for representing the knowledge of a domain. To make ontologies useful, they must encompass a comprehensive domain view. To achieve ontology enrichment, there is a need to discover new concepts to be added, either b...
Humans Language Semantics Biological Ontologies Large Language Models Natural Language Processing PubMed
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