The impact of artificial intelligence on the reading times of radiologists for chest radiographs

Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population : A Randomized Controlled Trial

Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence

Validation study of machine-learning chest radiograph software in primary and emergency medicine

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

Diagnostic performance of artifcial intelligence approved for adults for the interpretation of pediatric chest radiographs

Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation

Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph