Posters

Augmented Intelligence to Identify Patients with Advanced Heart Failure

Cheema et al.

Using Electronic Health Records to Predict the Onset of Hypertension with LSTMs

Datta et al.

Sending AI Algorithms to Medical School: Transfer Learning in Medicine Towards Enhanced Prediction of Opioid Overdose

Gebran et al.

Predicting obstructive hydronephrosis from 1–2 ultrasound images

Erdman 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.

System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study Of Machine Learning-Directed Clinical Evaluations During Outpatient Cancer Radiation And Chemoradiation

Hong et al.

Predicting Myocardial Injury From Continuous Single-Lead Electrocardiographic Monitoring in the Emergency Department

Jin et al.

Using Twitter Data to Study Adverse Pregnancy Outcomes

Klein et al.

Self-explaining Neural Network with Concept-based
Explanations for ICU Mortality Prediction

Kumar et al.

+priokritisk: Early identification of clinical deterioration
among hospitalized patients by explainable AI

Larsen 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.

Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patients

Moon et al.

Improving quality of care in critically ill children
by real-time detection of bedside interventions
using physiological waveforms and deep learning

Nagaraj et al.

Putting Guidelines Into Practice: The Audit of a Diabetic Retinopathy Classification Model

Oala et al.

Coronary Risk Estimation Based on Clinical Data in Electronic Health Records

Petrazzini et al.

Assessing Real-World Utility of Individualized Google Searches
in the Early Detection of Suicidal Behaviors: Pilot Cohort Study

Patrap et al.

Deep learning to predict post-operative mortality after cardiothoracic surgery using pre-operative chest radiographs

Raghu et al.

Validation of a deep learning-based model to estimate lung cancer risk from chest radiographs

Raghu et al.

Sequential sub-network routing for multi-task learning
on electronic health records

Roy et al.

CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-ray

Shi et al.

Contrastive Learning Leveraging Patient Metadata for Sample-efficient Lung and Heart Sound Representations

Soni 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

Sufriyani et al.

Implementing Real-Time Risk Prediction for Clinical Decision Support to Prevent Suicide

Ripperger et al.

Crowdsourced, Point-of-Care Decision Support for Surgical Risk Prediction

Yuan et al.

Learning Optimal Predictive Checklists

Zhang H et al.

Predicting Next-Day Discharge via Electronic Health Record Audit Logs

Zhang X et al.