Aims And Objectives: This study aimed to compare the accuracy of two AI models - OpenAI's GPT-4 Turbo (San Francisco, CA) and Meta's LLaMA 3.1 (Menlo Park, CA) - when answering a standardized set of pediatric radiology questions. The primary objective was to evaluate the overall accuracy of each model, while the secondary objective was to assess their performance within subsections.
View Article and Find Full Text PDFRecent advancements in natural language processing (NLP) have profoundly transformed the medical industry, enhancing large cohort data analysis, improving diagnostic capabilities, and streamlining clinical workflows. Among the leading tools in this domain is ChatGPT 4.0 (OpenAI, San Francisco, California, US), a commercial NLP model widely used across various applications.
View Article and Find Full Text PDFAims And Objectives: This study evaluates the accuracy of two AI language models, ChatGPT 4.0 and Google Gemini (as of August 2024), in answering a set of 79 text-based pediatric radiology questions from "Pediatric Imaging: A Core Review." Accurate interpretation of text and images is critical in radiology, making AI tools valuable in medical education.
View Article and Find Full Text PDFAims And Objective: Advances in artificial intelligence (AI), particularly in large language models (LLMs) like ChatGPT (versions 3.5 and 4.0) and Google Gemini, are transforming healthcare.
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