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20242026
most citedVision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models

10 citations · 18 across the 5 of their papers we have counts for

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2 papers · 1 filter

eess.IV2025★ 3 cited

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi +13

Introduction: This study provides a comprehensive performance assessment of vision-language models (VLMs) against established convolutional neural networks (CNNs) and classic machi…

cs.CL2025★ 2 cited

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models

Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage +4

This study evaluated self-reported response certainty across several large language models (GPT, Claude, Llama, Phi, Mistral, Gemini, Gemma, and Qwen) using 300 gastroenterology bo…