Machine Learning | Pulmonology | Radiology An Optimal Model Combining SqueezeNet and Machine Learning Methods for Lung Disease Diagnosis. November 30, 2023
Cardiology | Radiology Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. November 24, 2023
Pediatrics | Radiology A comprehensive segmentation of chest X-ray improves deep learning-based WHO radiologically confirmed pneumonia diagnosis in children. November 6, 2023
Cardiology | Radiology Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography. November 1, 2023
Infectious Diseases | Pulmonology | Radiology MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis. November 1, 2023
Radiology Deep Learning for Detection of Pneumothorax and Pleural Effusion on Chest Radiographs: Validation Against Computed Tomography, Impact on Resident Reading Time, and Interreader Concordance. October 26, 2023
Pulmonology | Radiology Joint classification and segmentation for an interpretable diagnosis of acute respiratory distress syndrome from chest x-rays. October 19, 2023
Radiology Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks. October 2, 2023
Radiology | Thoracic Surgery Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?-Systematic Review. September 28, 2023
Pediatrics | Radiology Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs. September 27, 2023
Cardiology | Pediatrics | Radiology The development and validation of an artificial intelligence-based screening method for atrial septal defect in children’s chest x-rays. September 27, 2023