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12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
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02/16/2022
A multi-reconstruction study of breast density estimation using Deep Learning
Breast density estimation is one of the key tasks in recognizing individ...
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08/25/2021
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest
Background Purpose: Chest X-Ray (CXR) use in pre-MRI safety screenin...
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09/28/2020
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application
Screening mammograms are a routine imaging exam performed to detect brea...
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09/25/2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning
The training of deep learning models typically requires extensive data, ...
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08/10/2020
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-W
Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain...
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02/24/2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
This study investigates whether a machine-learning-based system can pred...
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11/26/2019
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks
We propose a fully automated algorithm based on a deep-learning framewor...
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08/14/2019
