Intensive Care Medicine | Machine Learning Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. March 30, 2024
Critical Care | Internal Medicine Self-Correcting Recurrent Neural Network for Acute Kidney Injury Prediction in Critical Care. March 15, 2024
Obesity Imaging | Precision Medicine | Radiology A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. October 28, 2023
Pathology Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model. September 5, 2023
Radiology Automatic Calcification Morphology and Distribution Classification for Breast Mammograms with Multi-task Graph Convolutional Neural Network. April 7, 2023
Breast Surgery | Oncology | Radiology Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach. January 19, 2023
Dermatology | Ophthalmology | Pathology | Radiology FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. November 28, 2022
Artificial Intelligence | Infectious Diseases | Respiratory Medicine UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. October 20, 2022
Clinical Prediction Modeling | Electronic Health Records Deep Learning for Temporal Data Representation in Electronic Health Records: A Systematic Review of Challenges and Methodologies. January 2, 2022
Radiology Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels. October 15, 2021
Pediatrics | Radiology Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young Children. October 7, 2021
Radiology Today’s radiologists meet tomorrow’s AI: the promises, pitfalls, and unbridled potential. June 3, 2021