Posters — 2022
Augmented Intelligence to Identify Patients with Advanced Heart Failure
Ahmad et al.
Sending AI Algorithms to Medical School: Transfer Learning in Medicine Towards Enhanced Prediction of Opioid Overdose
Elkin et al.
POTTER-ICU: An Artificial-Intelligence Interpretable Tool To Predict Need For ICU Admission After Emergency Surgery
Gebran et al.
Deep Learning in Automated Breast Cancer Diagnosis from Microscopy Images
Gu et al.
Using Twitter Data to Study Adverse Pregnancy Outcomes
Klein et al.
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
Liu et al.
A Machine Learning Model to Predict Patient Opioid Consumption Following Surgical Discharge Using Comprehensive Perioperative Data
Marwaha et al.
Using Electronic Health Records to Predict the Onset of Hypertension with LSTMs
Datta et al.
Deep-insight visible neural network (D1-VNN) as a responsible framework of human and machine learning: Implementation for prognosticating prelabor rupture of membranes
Sufriyana et al.
Implementing Real-Time Risk Prediction for Clinical Decision Support to Prevent Suicide
Walsh et al.
Crowdsourced, Point of Care Decision Support for Surgical Risk Prediction
Yuan et al.
Predicting Next-Day Discharge via Electronic Health Record Audit Logs
Zhang et al.