INTRODUCING TEMPUS NEXT: AI-ENABLED CARE PATHWAY INTELLIGENCE /// EXPLORE NOW INTRODUCING TEMPUS NEXT: AI-ENABLED CARE PATHWAY INTELLIGENCE ///
November 5 — 7, 2022 CHICAGO, IL

Booth #2606
3 Oral Presentations
3 Poster Presentations

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.

Schedule a meeting with us

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.

Oral Presentations
November 5, 2022
live session
Time
4:42pm – 4:52pm
McCormick South 104 B (Conference room)

Composite Deep Learning ECG Algorithm Trained To Identify Structural Heart Diseases Can Identify Clinically Ascertained Hypertrophic Cardiomyopathy

live session
Time
4:54pm – 5:04pm
S105ABC

EHR-based Machine Learning Model Predicts Drug-induced QT Prolongation with Superior Performance Compared to Clinical Risk Predictors

November 7, 2022
live session
Time
11:30am – 11:35am
Zone 3,
Science and Technology Hall,
Level 3

Deep Learning Prediction of New-Onset Atrial Fibrillation Using Echocardiography Videos

Poster Presentations
November 6, 2022
Time
3:45pm – 4:45pm
Zone 2,
Science and Technology Hall,
Level 3, Board #2030

An EHR-Based Machine Learning Model Predicts Myocardial Infarction Better than an ECG-based Machine Learning Model and the Pooled Cohort Equations

Time
3:45pm – 4:45pm
Zone 3,
Science and Technology Hall,
Level 3, Board #3080

The impact of time censoring on machine learning models which identify patients with undiagnosed cardiac amyloidosis

November 7, 2022
Time
11:00am – 12:00pm
Zone 3,
Science and Technology Hall,
Level 3, Board #3072

Natural Language Processing Models Can Be Trained To Accurately Recognize The Presence Of Disease Within Clinical Notes

Schedule a meeting with us

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