AHA Scientific Sessions 2022
Tempus’ mission is to apply data and AI to diagnostics in order to route every patient to a personalized, optimal therapeutic path. In cardiology, we’re focused on finding and helping patients with undiagnosed or undertreated cardiovascular diseases. We are pleased to share our latest scientific and clinical research findings during the AHA Scientific Sessions 2022.
Partner with Us
Tempus Air™ is a platform that will enable healthcare systems to add an ‘intelligent layer’ onto routinely generated data, to find appropriate patients for proactive care and disease management. Air ingests multimodal data, runs AI-based algorithms, and surfaces insights for care teams to evaluate and action. We are also partnering with the entire healthcare ecosystem to build, validate, and deploy data-driven solutions to help improve the under-diagnosis and under-treatment of CVDs.
Composite Deep Learning ECG Algorithm Trained To Identify Structural Heart Diseases Can Identify Clinically Ascertained Hypertrophic Cardiomyopathy
McCormick South 104 B (Conference room)
EHR-based Machine Learning Model Predicts Drug-induced QT Prolongation with Superior Performance Compared to Clinical Risk Predictors
S105ABC
Deep Learning Prediction of New-Onset Atrial Fibrillation Using Echocardiography Videos
Zone 3, Science and Technology Hall, Level 3
An EHR-Based Machine Learning Model Predicts Myocardial Infarction Better than an ECG-based Machine Learning Model and the Pooled Cohort Equations
Zone 2, Science and Technology Hall, Level 3, Board #2030
The impact of time censoring on machine learning models which identify patients with undiagnosed cardiac amyloidosis
Zone 3, Science and Technology Hall, Level 3, Board #3080
Natural Language Processing Models Can Be Trained To Accurately Recognize The Presence Of Disease Within Clinical Notes
Zone 3, Science and Technology Hall, Level 3, Board #3072
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