Automated detection of pulmonary embolism from CT-angiograms using deep learning

Unsupervised Deep Anomaly Detection in Chest Radiographs

(2021) Takahiro Nakao et al.   JOURNAL OF DIGITAL IMAGING

AI applications to medical images: From machine learning to deep learning

(2021) Isabella Castiglioni et al.   Physica Medica-European Journal of Medical Physics

Performance of an artificial intelligence tool with real-time clinical workflow integration – Detection of intracranial hemorrhage and pulmonary embolism

(2021) Nico Buls et al.   Physica Medica-European Journal of Medical Physics

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

(2020) Thomas Weikert et al.   EUROPEAN RADIOLOGY

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

(2020) Shih-Cheng Huang et al.   Scientific Reports

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation

(2019) Nima Tajbakhsh et al.   MEDICAL IMAGE ANALYSIS

The Effects of Fatigue From Overnight Shifts on Radiology Search Patterns and Diagnostic Performance

(2018) Tarek N. Hanna et al.   Journal of the American College of Radiology

Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans

(2018) David J. Winkel et al.   INVESTIGATIVE RADIOLOGY

Management of incidental pulmonary embolism

(2017) Frederikus A. Klok et al.   EUROPEAN RESPIRATORY JOURNAL

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

Automation bias and verification complexity: a systematic review

(2016) David Lyell et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep vein thrombosis and pulmonary embolism

(2016) Marcello Di Nisio et al.   LANCET

RESPECT-ED: Rates of Pulmonary Emboli (PE) and Sub-Segmental PE with Modern Computed Tomographic Pulmonary Angiograms in Emergency Departments: A Multi-Center Observational Study Finds Significant Yield Variation, Uncorrelated with Use or Small PE Rates

(2016) David Mountain et al.   PLoS One

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

(2015) Robert J. McDonald et al.   ACADEMIC RADIOLOGY

After-Hours Radiology: Challenges and Strategies for the Radiologist

(2015) Saurabh Rohatgi et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic

(2011) Bram van Ginneken et al.   RADIOLOGY

Acute Pulmonary Embolism: Effect of a Computer-assisted Detection Prototype on Diagnosis—An Observer Study

(2011) Rianne Wittenberg et al.   RADIOLOGY

Influence of Computer-Aided Detection False-Positives on Reader Performance and Diagnostic Confidence for CT Colonography

(2009) Stuart A. Taylor et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Computer-Aided Diagnosis of Lung Cancer and Pulmonary Embolism in Computed Tomography—A Review

(2008) Heang-Ping Chan et al.   ACADEMIC RADIOLOGY

Utilization Patterns and Diagnostic Yield of 3421 Consecutive Multidetector Row Computed Tomography Pulmonary Angiograms in a Busy Emergency Department

(2008) Jay H. Donohoo et al.   JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY