AIMC Topic: Large Language Models

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Integrating Large language models into radiology workflow: Impact of generating personalized report templates from summary.

European journal of radiology Aug 1, 2025
OBJECTIVE: To evaluate feasibility of large language models (LLMs) to convert radiologist-generated report summaries into personalized report templates, and assess its impact on scan reporting time and quality.
Radiology Information Systems Large Language Models Female Male Workflow Humans Retrospective Studies Feasibility Studies Natural Language Processing Tomography, X-Ray Computed
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Evaluating the Performance of Reasoning Large Language Models on Japanese Radiology Board Examination Questions.

Academic radiology Aug 1, 2025
RATIONALE AND OBJECTIVES: This study evaluates the performance, cost, and processing time of OpenAI's reasoning large language models (LLMs) (o1-preview, o1-mini) and their base models (GPT-4o, GPT-4o-mini) on Japanese radiology board examination que...
Language Japan Large Language Models Specialty Boards Educational Measurement Radiology
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[Potential applications of large language models in trauma surgery : Opportunities, risks and perspectives].

Unfallchirurgie (Heidelberg, Germany) Aug 1, 2025
The integration of large language models (LLM) into the care of trauma surgery patients offers an exciting opportunity with immense potential to enhance the efficiency and quality of care. The LLM can serve as supportive tools for diagnosis, decision...
Acute Care Surgery Humans Large Language Models Wounds and Injuries Traumatology
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Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.

Environmental science & technology Jul 15, 2025
High-throughput screening and computational models have been effective in predicting chemical interactions with estrogen and androgen receptors, but similar approaches for steroidogenesis remain limited. To address this gap, we developed general ster...
Steroids Cell Line, Tumor Large Language Models Humans Machine Learning
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Initial Proof-of-Concept Study for a Plastic Surgery-Specific Artificial Intelligence Large Language Model: PlasticSurgeryGPT.

Aesthetic surgery journal Jul 15, 2025
BACKGROUND: The advent of general-purpose large language models (LLMs) like ChatGPT (OpenAI, San Francisco, CA) has revolutionized natural language processing, but their applicability in specialized medical fields, like plastic surgery, remains limit...
Proof of Concept Study Natural Language Processing Humans Surgery, Plastic Large Language Models Plastic Surgery Procedures Artificial Intelligence
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Clinical Application of Large Language Models for Intervention Plan Development in Speech-Language Pathology.

American journal of speech-language pathology Jul 10, 2025
PURPOSE: This study investigates the speech and language intervention plan outputs generated by six different artificial intelligence (AI) tools powered by large language models (LLMs), currently available for clinical writing in the field of speech-...
Child, Preschool Speech-Language Pathology Language Disorders Child Language Large Language Models Female Speech Disorders Male Humans Artificial Intelligence
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spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration.

Briefings in bioinformatics Jul 2, 2025
Spatial multi-omics technologies provide valuable data on gene expression from various omics in the same tissue section while preserving spatial information. However, deciphering spatial domains within spatial omics data remains challenging due to th...
Neural Networks, Computer Software Humans Computational Biology Multiomics Large Language Models Algorithms Genomics
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Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy.

Neurosurgical focus Jul 1, 2025
OBJECTIVE: Use of neurosurgical data for clinical research and machine learning (ML) model development is often limited by data availability, sample sizes, and regulatory constraints. Synthetic data offer a potential solution to challenges associated...
Generative Adversarial Networks Aged Language Privacy Humans Neurosurgical Procedures Female Male Large Language Models Machine Learning
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Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean.

Yonsei medical journal Jul 1, 2025
PURPOSE: Large language models (LLMs) have shown potential in medicine, transforming patient education, clinical decision support, and medical research. However, the effectiveness of LLMs in providing accurate medical information, particularly in non...
Surveys and Questionnaires Large Language Models Republic of Korea Neoplasms Humans Language
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Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2025
OBJECTIVE: Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to impro...
Natural Language Processing Information Storage and Retrieval Large Language Models Humans Electronic Health Records
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