Segment anything model for few-shot medical image segmentation with domain tuning Weili Shi Penglong Zhang Zhengang Jiang Complex & Intelligent Systems (2025) How primary and tertiary care services collaborate in urgent care delivery: an evaluation of general practice advice lines Adeola Bamgboje...
Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a comprehensive benchmark designed to evaluate large language models’ adherence to medical guidelines across 20 diagnostic scenarios spanning 13 specialties. It includes an evaluation fram
Here, we present a curated dataset based on the Medical Information Mart for Intensive Care (MIMIC-IV) database spanning 2,400 real patient cases and 4 common abdominal pathologies (appendicitis, pancreatitis, cholecystitis and diverticulitis) as well as a comprehensive evaluation framework around our...
Large Language Models (LLMs) have significantly advanced healthcare innovation on generation capabilities. However, their application in real clinical settings is challenging due to potential deviations from medical facts and inherent biases. In this work, we develop an augmented LLM framework, KG-Rank...
large language modelsmedical educationLarge language models (LLMs), including ChatGPT (Chat Generative Pretrained Transformer), a popular, publicly available LLM, represent an important innovation in the application of artificial intelligence. These systems generate relevant content by identifying patterns ...
Large Language Models May Adversely Affect Scientific Evaluation Systems ASH Clinical News, 2022 Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA JMIR Preprints, 2024 Potentials of Large Language Models in Healthcare: A ...
“large language model*” OR “GPT” OR “ChatGPT” OR “chatbot*”) AND (“medical education” OR “medical school*” OR “medical exam*” OR “medical assessment*” OR “medical curricul*” OR “healthcare education” OR “continuing medical education” OR “internship” OR “residen*...
The graph above shows the total scores of the different large language models of the Davos Cognitive Bias Evaluation Scale. This comprehensive view allows for a direct comparison of the overall performance of each model in terms of cognitive biases, limitations, and behaviors. ...
case challenges, including the New England Journal of Medicine clinicopathologic conference series, question-answer datasets such as for the US Medical Licensing Examination, and other clinical natural language processing benchmarks, with limited evaluation of their performance when applied to clinical ...
Researchers from EPFL have just released Meditron, the world's best performing open source large language model tailored to the medical field designed to help guide clinical decision-making. Large language models (LLMs) are deep learning algorithms trained on vast amounts of text to learn billions...