AIMC Topic: Large Language Models

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Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review.

JMIR medical informatics Aug 7, 2025
BACKGROUND: Stroke has a major impact on global health, causing long-term disability and straining health care resources. Generative large language models (gLLMs) have emerged as promising tools to help address these challenges, but their application...
Language Stroke Large Language Models Humans
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Classifying Patient Complaints Using Artificial Intelligence-Powered Large Language Models: Cross-Sectional Study.

Journal of medical Internet research Aug 6, 2025
BACKGROUND: Patient complaints provide valuable insights into the performance of health care systems, highlighting potential risks not apparent to staff. Patient complaints can drive systemic changes that enhance patient safety. However, manual categ...
Primary Health Care Singapore Patient Satisfaction Cross-Sectional Studies Male Large Language Models Language Artificial Intelligence Female Humans
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Transfer learning driven fake news detection and classification using large language models.

Scientific reports Aug 5, 2025
Today, the problem of using social media to spread false information is not only widespread but also quite serious. The extensive dissemination of fake news, regardless of whether it is produced by human beings or computer programs, has a negative im...
Humans Large Language Models Machine Learning Language Deception Algorithms Social Media
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Zero-shot performance analysis of large language models in sumrate maximization.

PloS one Aug 4, 2025
Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. In the field of Networking, LLMs can also play a major role when it comes to resource optimization and shari...
Humans Algorithms Natural Language Processing Large Language Models Language Models, Theoretical
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Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers.

BMC medical research methodology Jul 31, 2025
BACKGROUND: Risk of bias (RoB) assessment is an essential part of systematic reviews that requires reading and understanding each eligible trial and RoB tools. RoB assessment is subject to human error and is time-consuming. Machine learning-based too...
Large Language Models Humans Bias Systematic Reviews as Topic Language Observer Variation Machine Learning Risk Assessment Generative Artificial Intelligence Research Design Pilot Projects Randomized Controlled Trials as Topic
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Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.

BMC medical imaging Jul 31, 2025
This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (N...
Humans Magnetic Resonance Imaging Middle Aged Rectal Neoplasms Language Deep Learning Tomography, X-Ray Computed Aged Large Language Models Female Neoadjuvant Therapy Chemoradiotherapy Male
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Large Language Model Symptom Identification From Clinical Text: Multicenter Study.

Journal of medical Internet research Jul 31, 2025
BACKGROUND: Recognizing patient symptoms is fundamental to medicine, research, and public health. However, symptoms are often underreported in coded formats even though they are routinely documented in physician notes. Large language models (LLMs), n...
Language Large Language Models Humans
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Large language models for extraction of OPS-codes from operative reports in meningioma surgery.

Acta neurochirurgica Jul 31, 2025
BACKGROUND: In the German medical billing system, surgical departments encode their procedures in OPS-codes. These OPS-codes have major impact on DRG grouping and thus mainly determine each case´s revenue. In our study, we investigate the ability of ...
Meningeal Neoplasms Meningioma Large Language Models Female Male Germany Clinical Coding Neurosurgical Procedures Humans Language
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The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings.

Scientific reports Jul 31, 2025
Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of "hal...
Adverse Drug Reaction Reporting Systems Large Language Models Humans Drug-Related Side Effects and Adverse Reactions Language Patient Safety Pharmacovigilance Natural Language Processing
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AI-AI bias: Large language models favor communications generated by large language models.

Proceedings of the National Academy of Sciences of the United States of America Jul 29, 2025
Are large language models (LLMs) biased in favor of communications produced by LLMs, leading to possible antihuman discrimination? Using a classical experimental design inspired by employment discrimination studies, we tested widely used LLMs, includ...
Large Language Models Humans Language Artificial Intelligence Communication
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