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Recent publications

Head CT deep learning model is highly accurate for early infarct estimation
Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network
Automatic segmentation and measurement of tracheal collapsibility in tracheomalacia
Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT
Complex Relationship Between Artificial Intelligence and CT Radiation Dose
Correlating malignancy risk from an artificial intelligence (AI) algorithm and lung-rads-based classification from screening low-dose CT imaging
Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings
Imaging Information Overload: Quantifying the Burden of Interpretive and Non-Interpretive Tasks for Computed Tomography Angiography for Aortic Pathologies in Emergency Radiology

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The Mass General Brigham Data Science Office delivers innovative digital solutions to transform care delivery. Learn more about who we are, what we do, and how to contact us.

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