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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Sepideh Hatamikia

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2 papers indexed here

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Preprint Sep 2026

From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography

Purpose: To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determination, and continuous malignancy probability estimation using digital mammography (DM) and contrast-enhanced mammography (CEM). Methods: Thi...

A. Ardakani, A. Mohammadi, T. Y. Kuzan et al. · 0 citations
Open access Nov 2025

From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses

OBJECTIVES The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter-observer variability and conservative diagnostic thresholds. Concurrently, deep learning (DL) models demonstrated promise in...

A. Ardakani, A. Mohammadi, A. Mohebbi et al. · 0 citations

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