Tempus AI to Present 4 Groundbreaking Abstracts at ACC 2025: Revolutionizing Cardiology with AI-Driven Insights
Tempus AI, Inc. (NASDAQ: TEM), a trailblazer in leveraging artificial intelligence (AI) to enhance precision medicine and patient care, has announced its participation in the American College of Cardiology (ACC) Annual Meeting, taking place from March 29-31, 2025, in Chicago, Illinois. This marks Tempus’ inaugural appearance at the prestigious event, where it will showcase four abstracts highlighting the transformative role of AI in advancing cardiovascular care.
The research underscores Tempus’ mission to empower clinicians with actionable insights, enabling them to deliver personalized, guideline-recommended care to patients with undiagnosed or undertreated cardiovascular conditions. By integrating AI into clinical workflows, Tempus is poised to address critical gaps in cardiovascular care delivery.
“Tempus is dedicated to equipping clinicians with tools to provide better care for patients who may otherwise fall through the cracks due to undiagnosed or undertreated cardiovascular disease,” said Dr. Brandon Fornwalt, MD, PhD, Senior Vice President of Cardiology at Tempus. “Our connected network of providers, combined with scalable AI-driven insights, allows us to close care gaps in ways that were previously unimaginable.”
Below is an overview of Tempus’ groundbreaking abstracts being presented at ACC 2025:
Abstract 184: Predicting Left Ventricular Systolic Dysfunction Using Machine Learning
Session Date & Time: Saturday, March 29, 9:30 AM CDT
Overview:
This study focuses on developing machine learning models that incorporate clinical, demographic, and echocardiography data to predict left ventricular systolic dysfunction (LVSD) in patients with isolated left ventricular dilation (ILVD). Early identification of LVSD progression is crucial for timely intervention. The findings demonstrate the potential of AI to identify high-risk patients and enable proactive management strategies, improving outcomes for those with ILVD.
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Abstract 140: EHR-Integrated Notifications for Sudden Cardiac Arrest Risk
Session Date & Time: Saturday, March 29, 11:00 AM CDT
Overview:
Sudden cardiac arrest (SCA) remains a leading cause of mortality worldwide, often due to underdiagnosis and delayed treatment. This research explores the implementation of electronic health record (EHR)-integrated notifications to flag patients at risk for SCA who could benefit from life-saving interventions like implantable cardioverter defibrillators (ICDs). The results indicate that such notifications can significantly improve care coordination and reduce preventable deaths by closing critical care gaps.
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Abstract 127: Tackling Racial Disparities in Valvular Heart Disease
Session Date & Time: Saturday, March 29, 11:00 AM CDT
Overview:
Racial disparities persist in the diagnosis and treatment of valvular heart diseases, including severe aortic stenosis (SAS) and severe mitral regurgitation (SMR). This study analyzes data collected between April 2019 and January 2024 at a tertiary care center to identify race-based trends in access to appropriate care. It also examines how echo-driven EHR alerts can mitigate these disparities by ensuring timely referrals and treatments. By addressing inequities, this research aims to create a more inclusive healthcare system.
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Abstract 174: NLP for Diagnosing Cardiac Transthyretin Amyloidosis
Session Date & Time: Sunday, March 30, 9:00 AM CDT
Overview:
Cardiac transthyretin amyloidosis (cardiac ATTR) is notoriously challenging to diagnose, leading to significant delays in treatment initiation. This retrospective analysis evaluates the use of natural language processing (NLP) to enhance diagnostic accuracy and streamline treatment pathways for patients with cardiac ATTR. The study highlights substantial care gaps in managing this condition and demonstrates how NLP can optimize clinical workflows, ultimately improving patient outcomes.
SEO Keywords: Natural language processing in cardiology, cardiac ATTR diagnosis, AI for rare diseases, precision medicine
Why Tempus’ Research Matters for the Future of Cardiology
The presentations at ACC 2025 reflect Tempus’ commitment to harnessing AI as a powerful tool for advancing cardiovascular care. From predictive modeling for early detection of heart conditions to addressing systemic inequities in care delivery, Tempus’ innovations are paving the way for a future where every patient receives personalized, timely, and effective treatment.
By collaborating with clinicians and leveraging vast datasets, Tempus is not only enhancing diagnostic capabilities but also fostering a culture of proactive, data-driven decision-making. These advancements align with broader industry goals of reducing healthcare costs, improving patient satisfaction, and achieving better health outcomes.
About Tempus AI, Inc.
Tempus AI, Inc. is a technology company transforming healthcare through the power of artificial intelligence. With a focus on precision medicine, Tempus provides AI-driven insights to support clinicians in delivering individualized care across various medical specialties, including oncology, cardiology, and neurology. Listed on NASDAQ under the ticker symbol TEM, Tempus continues to lead the charge in integrating cutting-edge technologies into everyday clinical practice.
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A New Era of Cardiovascular Care
As Tempus takes center stage at ACC 2025, its contributions to cardiovascular research underscore the immense potential of AI to revolutionize patient care. By bridging gaps in diagnosis, treatment, and equity, Tempus is setting new standards for excellence in cardiology. Healthcare professionals attending the conference will undoubtedly gain valuable insights into how AI can be integrated into their practices to drive meaningful change. Stay tuned for updates from the event as Tempus continues to shape the future of medicine.
