AIMC Topic: Licensure, Medical

Clear Filters Showing 11 to 20 of 27 articles

Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE.

JAMA network open
IMPORTANCE: Large language models (LLMs) are being implemented in health care. Enhanced accuracy and methods to maintain accuracy over time are needed to maximize LLM benefits.

Evaluating the value of AI-generated questions for USMLE step 1 preparation: A study using ChatGPT-3.5.

Medical teacher
PURPOSE: Students are increasingly relying on artificial intelligence (AI) for medical education and exam preparation. However, the factual accuracy and content distribution of AI-generated exam questions for self-assessment have not been systematica...

Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study.

JMIR medical education
BACKGROUND: The integration of artificial intelligence (AI), notably ChatGPT, into medical education, has shown promising results in various medical fields. Nevertheless, its efficacy in traditional Chinese medicine (TCM) examinations remains underst...

While GPT-3.5 is unable to pass the Physician Licensing Exam in Taiwan, GPT-4 successfully meets the criteria.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 in answering medical questions from Taiwan's Physician Licensing Exam, ranging from basic medical knowledge to specialized clinical topics. It aims to understand these a...

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions.

Journal of surgical education
OBJECTIVE: Recent studies investigated the potential of large language models (LLMs) for clinical decision making and answering exam questions based on text input. Recent developments of LLMs have extended these models with vision capabilities. These...

Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study.

Journal of medical Internet research
BACKGROUND: Recent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4, have demonstrated significant potential by achieving good scores on text-only United States Medical Licensing Examination (USMLE) exams and effectiv...

Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions.

JMIR medical education
This study evaluated the performance of ChatGPT with GPT-4 Omni (GPT-4o) on the 118th Japanese Medical Licensing Examination. The study focused on both text-only and image-based questions. The model demonstrated a high level of accuracy overall, with...

Evaluating the Effectiveness of advanced large language models in medical Knowledge: A Comparative study using Japanese national medical examination.

International journal of medical informatics
UNLABELLED: Study aims and objectives. This study aims to evaluate the accuracy of medical knowledge in the most advanced LLMs (GPT-4o, GPT-4, Gemini 1.5 Pro, and Claude 3 Opus) as of 2024. It is the first to evaluate these LLMs using a non-English m...

Performance of ChatGPT in medical licensing examinations in countries worldwide: A systematic review and meta-analysis protocol.

PloS one
INTRODUCTION: In November 2022, the online artificial intelligence (AI) chatbot ChatGPT was released to the public, and swiftly garnered global attention because of its ability to provide detailed answers to complex queries. In medical field, ChatGPT...

Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination.

Current medical science
OBJECTIVE: To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge.