AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining.
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV.
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set.
Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.
