An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study

Fatemeh Homayounieh, Subba R. Digumarthy, Shadi Ebrahimian, +21

JAMA Network Open

Facebook Groups as a Powerful and Dynamic Tool in Medical Education: Mixed-Method Study

Leo Nicolai, Moritz L. Schmidbauer, Maximilian Gradel, +8

Journal of Medical Internet Research

Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs

Johannes Rueckel, Lena Trappmann, Balthasar Schachtner, +7

Investigative Radiology

Oral thrombin inhibitor aggravates platelet adhesion and aggregation during arterial thrombosis

Tobias Petzold, Manuela Thienel, Ildiko Konrad, +14

Science Translational Medicine

Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists

Johannes Rueckel, Wolfgang G. Kunz, Boj Hoppe, +7

Critical Care Medicine

Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance

Johannes Rueckel, Jonathan I. Sperl, Sophia Kaestle, +9

Quantitative Imaging in Medicine and Surgery

Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception

Boj Hoppe, Johannes Rueckel, Yevgeniy Dikhtyar, +6

Investigative Radiology

Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis

Jan Rudolph, Balthasar Schachtner, Nicola Fink, +15

Scientific Reports

Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation

Jan Rudolph, Christian Huemmer, Alexander Preuhs, +16

CHEST Journal

Interpretation of Thoracic Radiography Shows Large Discrepancies Depending on the Qualification of the Physician—Quantitative Evaluation of Interobserver Agreement in a Representative Emergency Department Scenario

Jan Rudolph, Nicola Fink, Julien Dinkel, +12

Diagnostics