Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study

AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

(2022) Stavros Matsoukas et al.   Journal of NeuroInterventional Surgery

Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT

(2021) Basel Yacoub et al.   ACADEMIC RADIOLOGY

Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value

(2021) Jordan Chamberlin et al.   BMC Medicine

Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?

(2021) Yi-Chu Li et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Screening for Lung Cancer

(2021) et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

How Radiology Leaders Can Address Burnout

(2021) Jay R. Parikh et al.   Journal of the American College of Radiology

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

(2021) Hyunsuk Yoo et al.   EUROPEAN RADIOLOGY

How does artificial intelligence in radiology improve efficiency and health outcomes?

(2021) Kicky G. van Leeuwen et al.   PEDIATRIC RADIOLOGY

Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT

(2021) Ruben Evertz et al.   Journal of Clinical Medicine

Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility Study

(2021) Felix C. Müller et al.   ACADEMIC RADIOLOGY

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

(2021) Catherine M Jones et al.   BMJ Open

The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

(2021) Dana Li et al.   Diagnostics

Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer — Detection of Unreported Intracranial Hemorrhage

(2020) Balaji Rao et al.   ACADEMIC RADIOLOGY

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care

(2020) William Moore et al.   JOURNAL OF THORACIC IMAGING

Machine Learning/Deep Neuronal Network

(2020) Andreas M. Fischer et al.   JOURNAL OF THORACIC IMAGING

Prevalence of Burnout Among Cardiothoracic Radiologists

(2020) Ronald L. Eisenberg et al.   JOURNAL OF THORACIC IMAGING

Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions

(2020) Ross W. Filice et al.   Journal of the American College of Radiology

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents

(2020) Joy T. Wu et al.   JAMA Network Open

Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up

(2020) J. Rueckel et al.   EUROPEAN JOURNAL OF RADIOLOGY

2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes

(2019) Juhani Knuuti et al.   EUROPEAN HEART JOURNAL

Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016

(2019) Rebecca Smith-Bindman et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Concurrent Computer-Aided Detection Improves Reading Time of Digital Breast Tomosynthesis and Maintains Interpretation Performance in a Multireader Multicase Study

(2018) Richard A. Benedikt et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Addressing Burnout in Radiologists

(2018) Alison L. Chetlen et al.   ACADEMIC RADIOLOGY

Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency

(2018) Matthew Brown et al.   ACADEMIC RADIOLOGY

2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary

(2018) Scott M. Grundy et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

t-tests, non-parametric tests, and large studies—a paradox of statistical practice?

(2012) Morten W Fagerland   BMC Medical Research Methodology

2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease

(2012) Stephan D. Fihn et al.   CIRCULATION

Interpretation Time of Computer-aided Detection at Screening Mammography

(2010) Philip M. Tchou et al.   RADIOLOGY

Workload of Radiologists in United States in 2006–2007 and Trends Since 1991–1992

(2009) Mythreyi Bhargavan et al.   RADIOLOGY