AIMC Topic: Licensure, Medical

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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.

Assessing ChatGPT 4.0's test performance and clinical diagnostic accuracy on USMLE STEP 2 CK and clinical case reports.

Scientific reports
While there is data assessing the test performance of artificial intelligence (AI) chatbots, including the Generative Pre-trained Transformer 4.0 (GPT 4) chatbot (ChatGPT 4.0), there is scarce data on its diagnostic accuracy of clinical cases. We ass...

GPT-4/4V's performance on the Japanese National Medical Licensing Examination.

Medical teacher
BACKGROUND: Recent advances in Artificial Intelligence (AI) are changing the medical world, and AI will likely replace many of the actions performed by medical professionals. The overall clinical ability of the AI has been evaluated by its ability to...

Reshaping medical education: Performance of ChatGPT on a PES medical examination.

Cardiology journal
BACKGROUND: We are currently experiencing a third digital revolution driven by artificial intelligence (AI), and the emergence of new chat generative pre-trained transformer (ChatGPT) represents a significant technological advancement with profound i...

An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...

The Advanced Reasoning Capabilities of Large Language Models for Detecting Contraindicated Options in Medical Exams.

JMIR medical informatics
Enhancing clinical reasoning and reducing diagnostic errors are essential in medical practice; OpenAI-o1, with advanced reasoning capabilities, performed better than GPT-4 on 15 Japanese National Medical Licensing Examination questions (accuracy: 100...

Large language models leverage external knowledge to extend clinical insight beyond language boundaries.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings, primarily due to limited cli...