9 citations · 12 across the 4 of their papers we have counts for
4 papers
A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool
Adam E. Flanders, Yifan Peng, Luciano Prevedello +6
Purpose: The purpose of this study was to determine if an ensemble of multiple LLM agents could be used collectively to provide a more reliable assessment of a pixel-based AI triag…
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review
Rishi Gadepally, Andrew Gomella, Eric Gingold +1
The discussions around Artificial Intelligence (AI) and medical imaging are centered around the success of deep learning algorithms. As new algorithms enter the market, it is impor…
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning
Sanket Badhe, Varun Singh, Joy Li +1
The purpose of this study is to develop an automated algorithm for thoracic vertebral segmentation on chest radiography using deep learning. 124 de-identified lateral chest radiogr…
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks
Vishal Desai, Adam E. Flanders, Paras Lakhani
Background: Deep learning techniques have achieved high accuracy in image classification tasks, and there is interest in applicability to neuroimaging critical findings. This study…