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Large Language Models in Polyp Detection by sifat ullah is a document available to read on EtoBox.
What is Large Language Models in Polyp Detection about?
This study evaluates the performance of large language models (LLMs) GPT-4 o and Gemini 1.5 Pro in detecting colorectal polyps during colonoscopy, comparing them with a commercial computer-aided detection (CADe) system, ENDO-A ID. Results indicate that while GPT-4 o demonstrated comparable sensitivity and specificity to CADe for larger polyps, both LLMs struggled with smaller lesions. The findings suggest that LLMs could serve as cost-effective alternatives to traditional CADe systems in endoscopic practice
- Author
- sifat ullah
- Language
- EN