Neurology | Radiology Enhancing Outcome Prediction in Intracerebral Hemorrhage Through Deep Learning: A Retrospective Multicenter Study. August 2, 2024
Radiology Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance. February 9, 2024
Oncology | Radiology | Urology Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study. January 25, 2024
Radiology LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images. December 18, 2023
Oncology | Radiology | Urology Deep learning signature based on multiphase enhanced CT for bladder cancer recurrence prediction: a multi-center study. December 14, 2023
Oncology | Radiology | Urology CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study. September 18, 2023
Orthopedics | Radiology Glenoid segmentation from CT scans based on a two-stage deep learning model for glenoid bone loss evaluation. June 12, 2023
Gastroenterology | Oncology | Radiology Deep learning radio-clinical signature for predicting neoadjuvant chemotherapy response and prognosis from pretreatment CT images of locally advanced gastric cancer patients. May 3, 2023
Orthopedics | Radiology Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography. April 13, 2023
Radiology Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model. February 3, 2023
Medical Imaging | Oncology | Radiology Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography. December 8, 2022
Orthopedics | Radiology A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs. March 31, 2022