AIMC Topic: Language

Clear Filters Showing 1251 to 1260 of 1580 articles

[Research progress of large language models in tumor diagnosis: applications in textual reports and medical imaging].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Large language models (LLMs) are emerging artificial intelligence technologies with strong text and image processing capabilities, offering critical support for the intelligent transformation of healthcare and improving clinical efficiency and qualit...

Exploring the Use of a Large Language Model in Simulation Debriefing: An Observational Simulation-Based Pilot Study.

Simulation in healthcare : journal of the Society for Simulation in Healthcare
INTRODUCTION: Facilitating debriefings in simulation is a complex task with high task load. The increasing availability of generative artificial intelligence (AI) offers an opportunity to support facilitators. We explored simulation facilitation and ...

[Assessing the accuracy and comprehensiveness of large language models in responding to patient inquiries on placenta accreta spectrum].

Zhonghua yi xue za zhi
To explore the accuracy and comprehensiveness of responses from four large language models [ChatGPT-3.5 (Model A), ChatGPT-4.0 (Model B), ChatGPT-4o (Model D) developed by OpenAI in the United States, and a domestically developed Obstetric artificia...

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

The American surgeon
ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering questions from the American Board of Surgery In-Training Examination (ABSITE).MethodsMultiple choice ABSITE Quiz was entered into the most popular LLMs...

The answer may vary: large language model response patterns challenge their use in test item analysis.

Medical teacher
INTRODUCTION: The validation of multiple-choice question (MCQ)-based assessments typically requires administration to a test population, which is resource-intensive and practically demanding. Large language models (LLMs) are a promising tool to aid i...

Comparison of CT referral justification using clinical decision support and large language models in a large European cohort.

European radiology
BACKGROUND: Ensuring appropriate use of CT scans is critical for patient safety and resource optimization. Decision support tools and artificial intelligence (AI), such as large language models (LLMs), have the potential to improve CT referral justif...

An Evaluation of Current Trends in AI-Generated Text in Otolaryngology Publications.

The Laryngoscope
OBJECTIVES: Since the release of ChatGPT-4 in March 2023, large language models (LLMs) application in biomedical manuscript production has been widespread. GPT-modified text detectors, such as GPTzero, lack sensitivity and reliability and do not quan...

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery From Large-Scale Human-LLM Conversational Datasets.

IEEE transactions on visualization and computer graphics
Large Language Models (LLMs) have gained significant attention but also raised concerns due to the risk of misuse. Jailbreak prompts, a popular type of adversarial attack towards LLMs, have appeared and constantly evolved to breach the safety protoco...

Quality of Machine Translations in Medical Texts: An Analysis Based on Standardised Evaluation Metrics.

Studies in health technology and informatics
INTRODUCTION: The medical care of patients with rare diseases is a cross-border concern across the EU. This is also reflected in the usage statistics of the SE-ATLAS, where most access occurs via browser languages set to German, English, French, or P...

Large language models for analyzing open text in global health surveys: why children are not accessing vaccine services in the Democratic Republic of the Congo.

International health
BACKGROUND: This study evaluates the use of large language models (LLMs) to analyze free-text responses from large-scale global health surveys, using data from the EnquĂȘte de Couverture Vaccinale (ECV) household coverage surveys from 2020, 2021, 2022...