AIMC Topic: Large Language Models

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Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Jan 10, 2025
BACKGROUND: This study aims to evaluate the capabilities and limitations of large language models (LLMs) for providing patient education for men undergoing radiotherapy for localized prostate cancer, incorporating assessments from both clinicians and...
Health Literacy Middle Aged Patient Education as Topic Comprehension Humans Large Language Models Language Aged Prostatic Neoplasms Male
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Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks.

Academic radiology Jan 6, 2025
RATIONALE AND OBJECTIVES: Training Convolutional Neural Networks (CNN) requires large datasets with labeled data, which can be very labor-intensive to prepare. Radiology reports contain a lot of potentially useful information for such tasks. However,...
Sensitivity and Specificity Convolutional Neural Networks Radiology Information Systems Humans Neural Networks, Computer Ankle Fractures Large Language Models
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Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide.

Academic radiology Jan 6, 2025
Large Language Models (LLMs) such as ChatGPT have been increasingly integrated into radiology research, revolutionizing the research landscape. The Radiology Research Alliance (RRA) of the Association for Academic Radiology (AAR) has convened a Task ...
Biomedical Research Natural Language Processing Large Language Models Radiology Humans Artificial Intelligence Language
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Investigating the role of large language models on questions about refractive surgery.

International journal of medical informatics Jan 6, 2025
BACKGROUND: Large language models (LLMs) are becoming increasingly popular and are playing an important role in providing accurate clinical information to both patients and physicians. This study aimed to investigate the effectiveness of ChatGPT-4.0,...
Language Female Comprehension Surveys and Questionnaires Humans Refractive Surgical Procedures Reproducibility of Results Large Language Models
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Facilitators and Barriers of Large Language Model Adoption Among Nursing Students: A Qualitative Descriptive Study.

Journal of advanced nursing Jan 4, 2025
AIM: To explore nursing students' perceptions and experiences of using large language models and identify the facilitators and barriers by applying the Theory of Planned Behaviour.
Young Adult Adult Male Language Female Students, Nursing Attitude of Health Personnel Large Language Models China Qualitative Research Humans
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Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies.

RMD open Dec 20, 2024
OBJECTIVES: We propose and test a framework to detect disease diagnosis using a recent large language model (LLM), Meta's Llama-3-8B, on French-language electronic health record (EHR) documents. Specifically, it focuses on detecting gout ('goutte' in...
Large Language Models Gout Diagnosis, Computer-Assisted Registries Electronic Health Records Humans Sensitivity and Specificity
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Benchmarking the performance of large language models in uveitis: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, Google Gemini, and Anthropic Claude3.

Eye (London, England) Dec 17, 2024
BACKGROUND/OBJECTIVE: This study aimed to evaluate the accuracy, comprehensiveness, and readability of responses generated by various Large Language Models (LLMs) (ChatGPT-3.5, Gemini, Claude 3, and GPT-4.0) in the clinical context of uveitis, utiliz...
Generative Artificial Intelligence Comprehension Large Language Models Uveitis Humans Benchmarking Language
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Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.

Journal of vascular surgery Dec 16, 2024
OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to surgeons, but the ability to do so is often limited by time and data entry personnel. Large language models (LLMs) such as ChatGPT (OpenAI) are examples...
Quality Improvement Quality Indicators, Health Care Vascular Surgical Procedures Large Language Models Endovascular Procedures Electronic Health Records Natural Language Processing Data Mining Humans Databases, Factual Retrospective Studies
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Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Dec 16, 2024
Large language models (LLMs) are generative artificial intelligence models that create content on the basis of the data on which it was trained. Processing capabilities have evolved from text only to being multimodal including text, images, audio, an...
Artificial Intelligence Delivery of Health Care Large Language Models Education, Medical Humans
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Case reports unlocked: Harnessing large language models to advance research on child maltreatment.

Child abuse & neglect Dec 16, 2024
BACKGROUND: Research on child protective services (CPS) is impeded by a lack of high-quality structured data. Crucial information on cases is often documented in case files, but only in narrative form. Researchers have applied automated language proc...
Large Language Models Child Abuse Child Protective Services Child Natural Language Processing Humans
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