3 citations
- Icahn School of Medicine at Mount SinaiUS3 papers
- Shahid Beheshti University of Medical SciencesIR3 papers
- Cedars-Sinai Medical CenterUS2 papers
- Child Health and Development InstituteUS2 papers
- Ontario Tech UniversityCA2 papers
- Columbia UniversityUS1 paper
- Hospital of the University of PennsylvaniaUS1 paper
- Imam Hossein HospitalIR1 paper
- Iranshahr UniversityIR1 paper
- Isfahan University of Medical SciencesIR1 paper
- Johns Hopkins UniversityUS1 paper
- Milad HospitalIR1 paper
3 papers
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…
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…
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri +39
This study compared the performance of classical feature-based machine learning models (CMLs) and large language models (LLMs) in predicting COVID-19 mortality using high-dimension…