AIMC Topic: Large Language Models
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Reasoning-Driven Food Energy Estimation via Multimodal Large Language Models.
Nutrients
Mar 24, 2025
Image-based food energy estimation is essential for user-friendly food tracking applications, enabling individuals to monitor their dietary intake through smartphones or AR devices. However, existing deep learning approaches struggle to recognize a ...
Population Health in Neurology and the Transformative Promise of Artificial Intelligence and Large Language Models.
Seminars in neurology
Mar 21, 2025
This manuscript examines the expanding role of population health strategies in neurology, emphasizing systemic approaches that address neurological health at a community-wide level. Key themes include interdisciplinary training in public health, poli...
Integrating machine learning and a large language model to construct a domain knowledge graph for reducing the risk of fall-from-height accidents.
Accident; analysis and prevention
Mar 20, 2025
Fall-from-height (FFH) accidents remain a major source of workplace injuries and fatalities. Fall protection systems (FPS) are critical for preventing falls in the work-at-height (WAH) environment. However, challenges in designing and selecting effec...
Large language models for automating clinical trial matching.
Current opinion in urology
Mar 20, 2025
PURPOSE OF REVIEW: The uses of generative artificial intelligence (GAI) technologies in medicine are expanding, with the use of large language models (LLMs) for matching patients to clinical trials of particular interest. This review provides an over...
Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations.
JCO clinical cancer informatics
Mar 20, 2025
PURPOSE: To determine the accuracy of large language models (LLMs) in generating appropriate treatment options for patients with early breast cancer on the basis of their medical records.
Enhanced Artificial Intelligence in Bladder Cancer Management: A Comparative Analysis and Optimization Study of Multiple Large Language Models.
Journal of endourology
Mar 18, 2025
With the rapid advancement of artificial intelligence in health care, large language models (LLMs) demonstrate increasing potential in medical applications. However, their performance in specialized oncology remains limited. This study evaluates the...
Large Language Model-Driven 3D Hyper-Realistic Interactive Intelligent Digital Human System.
Sensors (Basel, Switzerland)
Mar 17, 2025
Digital technologies are undergoing comprehensive integration across diverse domains and processes of the human economy, politics, culture, society, and ecological civilization. This integration brings forth novel concepts, formats, and models. In th...
Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment operation.
Environmental research
Mar 14, 2025
Wastewater treatment plants (WWTPs) are highly complex systems where biological, chemical, and physical processes interact dynamically, creating significant operational challenges. Traditional modeling approaches, such as Activated Sludge Models (ASM...
How to leverage large language models for automatic ICD coding.
Computers in biology and medicine
Mar 14, 2025
ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healthcare tasks such as health expense claims, insurance claims, and disease research. Manual ICD coding is time-consuming and prone to errors, increasing...
[Focus: artificial intelligence in medicine-Legal aspects of using large language models in clinical practice].
Innere Medizin (Heidelberg, Germany)
Mar 14, 2025
BACKGROUND: The use of artificial intelligence (AI) and natural language processing (NLP) methods in medicine, particularly large language models (LLMs), offers opportunities to advance the healthcare system and patient care in Germany. LLMs have rec...
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