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.
A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
