Intensive Care Medicine | Machine Learning | Radiology Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. October 3, 2023
Radiology The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs. September 28, 2023
Critical Care Medicine | Radiology Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions. September 13, 2023
Radiology Use of artificial intelligence in triaging of chest radiographs to reduce radiologists’ workload. August 24, 2023
Emergency Medicine | Radiology | Trauma Surgery Deep convolutional neural network for rib fracture recognition on chest radiographs. August 18, 2023
Cardiology | Radiology Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety. July 31, 2023
Oncology | Pulmonology | Radiology Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location. July 27, 2023
Radiology Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators. July 26, 2023
Cardiology | Radiology Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study. July 8, 2023
Endocrinology | Radiology Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs. July 7, 2023
Radiology ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs. June 26, 2023
Pulmonology | Radiology A systematic approach to deep learning-based nodule detection in chest radiographs. June 21, 2023