Radiology The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs. September 28, 2023
Radiology An extremely lightweight CNN model for the diagnosis of chest radiographs in resource-constrained environments. September 4, 2023
Radiology A semi-supervised learning-based quality evaluation system for digital chest radiographs. August 6, 2023
Endocrinology | Radiology Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs. July 7, 2023
Pulmonology | Radiology Deep learning to estimate lung disease mortality from chest radiographs. May 16, 2023
Radiology Lightweight multi-scale classification of chest radiographs via size-specific batch normalization. April 23, 2023
Artificial Intelligence | Healthcare | Radiology Collaborative training of medical artificial intelligence models with non-uniform labels. April 13, 2023
Pediatrics | Radiology Efficacy of Artificial Intelligence in the Categorisation of Paediatric Pneumonia on Chest Radiographs: A Systematic Review. March 29, 2023
Radiology Methods of Visualizing the Results of an Artificial-Intelligence-Based Computer-Aided Detection System for Chest Radiographs: Effect on the Diagnostic Performance of Radiologists. March 29, 2023
Emergency Medicine | Radiology Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting. March 21, 2023
Internal Medicine | Pulmonology | Radiology Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19. February 22, 2023
Pulmonology | Radiology Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. February 16, 2023