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

The Impact of Fatigue on Complex CT Case Interpretation by Radiology Residents

(2020) Henry Zhan et al.   ACADEMIC RADIOLOGY

A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images

(2020) Qianqian Ni et al.   EUROPEAN RADIOLOGY

Reversal of the hanging protocol of Contrast Enhanced Mammography leads to similar diagnostic performance yet decreased reading times

(2019) Koos van Geel et al.   EUROPEAN JOURNAL OF RADIOLOGY

The Impact of Interruptions on Chest Radiograph Interpretation

(2018) Rachel M. Wynn et al.   ACADEMIC RADIOLOGY

A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies

(2018) Lorenzo Vassallo et al.   EUROPEAN RADIOLOGY

Detection of Subsolid Nodules in Lung Cancer Screening

(2018) Mario Silva et al.   INVESTIGATIVE RADIOLOGY

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

(2018) Matthew Brown et al.   ACADEMIC RADIOLOGY

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

(2018) Alejandro Rodríguez-Ruiz et al.   RADIOLOGY

Radiologists’ Variation of Time to Read Across Different Procedure Types

(2016) Daniel Forsberg et al.   JOURNAL OF DIGITAL IMAGING

The Development of Expertise in Radiology: In Chest Radiograph Interpretation, “Expert” Search Pattern May Predate “Expert” Levels of Diagnostic Accuracy for Pneumothorax Identification

(2016) Brendan S. Kelly et al.   RADIOLOGY

iPad-based primary 2D reading of CT angiography examinations of patients with suspected acute gastrointestinal bleeding: preliminary experience

(2015) L Faggioni et al.   BRITISH JOURNAL OF RADIOLOGY

SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process: Table 1

(2015) Greg Ogrinc et al.   BMJ Quality & Safety

Who could benefit the most from using a computer-aided detection system in full-field digital mammography?

(2014) Na Jung et al.   World Journal of Surgical Oncology

Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: A comparative study

(2013) Sumiaki Matsumoto et al.   EUROPEAN JOURNAL OF RADIOLOGY

Comparative performance of a primary-reader and second-reader paradigm of computer-aided detection for CT colonography in a low-prevalence screening population

(2013) Mototaka Miyake et al.   JAPANESE JOURNAL OF RADIOLOGY

Computed Tomography Pulmonary Angiography in Acute Pulmonary Embolism

(2013) Rianne Wittenberg et al.   JOURNAL OF THORACIC IMAGING

Observer training for computer-aided detection of pulmonary nodules in chest radiography

(2012) Diederick W. De Boo et al.   EUROPEAN RADIOLOGY

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

(2011) Rianne Wittenberg et al.   RADIOLOGY

The Role of Key Image Notes in CT Imaging Study Interpretation

(2010) Shu-Feng Fan et al.   JOURNAL OF DIGITAL IMAGING