AIMC Topic: Large Language Models
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Creating virtual patients using large language models: scalable, global, and low cost.
Medical teacher
Jul 11, 2024
Virtual patients (VPs) have long been used to teach and assess clinical reasoning. VPs can be programmed to simulate authentic patient-clinician interactions and to reflect a variety of contextual permutations. However, their use has historically bee...
Assessing the risk of takeover catastrophe from large language models.
Risk analysis : an official publication of the Society for Risk Analysis
Jun 30, 2024
This article presents a risk analysis of large language models (LLMs), a type of "generative" artificial intelligence (AI) system that produces text, commonly in response to textual inputs from human users. The article is specifically focused on the ...
Large Language Models in Orthopaedics: Definitions, Uses, and Limitations.
The Journal of bone and joint surgery. American volume
Jun 19, 2024
➤ Large language models are a subset of artificial intelligence. Large language models are powerful tools that excel in natural language text processing and generation.➤ There are many potential clinical, research, and educational applications of lar...
How good are large language models at product risk assessment?
Risk analysis : an official publication of the Society for Risk Analysis
Jun 8, 2024
Product safety professionals must assess the risks to consumers associated with the foreseeable uses and misuses of products. In this study, we investigate the utility of generative artificial intelligence (AI), specifically large language models (LL...
EndoViT: pretraining vision transformers on a large collection of endoscopic images.
International journal of computer assisted radiology and surgery
Apr 3, 2024
PURPOSE: Automated endoscopy video analysis is essential for assisting surgeons during medical procedures, but it faces challenges due to complex surgical scenes and limited annotated data. Large-scale pretraining has shown great success in natural l...
Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Mar 21, 2024
The scarcity of medical resources and personnel has worsened due to COVID-19. Telemedicine faces challenges in assessing wounds without physical examination. Evaluating pressure injuries is time consuming, energy intensive, and inconsistent. Most of...
Accuracy of a Large Language Model as a new tool for optometry education.
Clinical & experimental optometry
Dec 3, 2023
CLINICAL RELEVANCE: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency.
3DBench: A scalable benchmark for object and scene-level instruction-tuning of 3D large language models.
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Recent assessments of Multi-Modal Large Language Models (MLLMs) have been thorough. However, a detailed benchmark that integrates point cloud data with language for MLLMs remains absent, leading to superficial comparisons that obscure advancements in...
BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and their transformative momentum has surged into the domain of education, giving rise to a nascent wave of education-tailored LLMs. Despite their potentia...
Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer.
Studies in health technology and informatics
Aug 7, 2025
The objective is to create an automated knowledge extraction tool for cancer research that builds high-quality academic corpora for LLM fine-tuning while investigating its effectiveness in interleukin-6 and bladder cancer domains. To address the curr...
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