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An agentic AI platform for continuous cardiovascular monitoring and autonomous clinical decision support

09.18.26 | Research Foundation for the State University of New York

AgentHeart is an innovative AI platform designed for continuous cardiovascular monitoring and autonomous clinical decision support, enhancing diagnostic accuracy and clinician collaboration in cardiac care.

Background :

The growing diagnostic workloads faced by radiologists and cardiologists have led to delays and challenges in cardiac care. Traditional AI solutions have often been viewed as opaque, "black-box" systems, generating trust issues among clinicians. There has been a critical need for an AI system that not only supports diagnostics but also actively collaborates with healthcare providers to improve the quality and efficiency of patient management in real time.

Technology Overview :

The AgentHeart platform represents a significant advancement in cardiac care technology by providing a transparent and collaborative AI assistant that functions as a teammate to clinicians. Unlike conventional AI tools, AgentHeart continuously monitors patients' cardiovascular data and integrates seamlessly into existing cardiac workflows. It analyzes trends and highlights potential risks over time, enabling proactive rather than reactive care. This system offers real-time, actionable guidance to both patients and care teams, facilitating more accurate and timely clinical decisions. The platform enhances clinician trust through its transparent decision-making processes and supports continuous clinical reasoning, rather than delivering standalone diagnostic outputs. Its autonomous decision support capabilities help reduce diagnostic delays and improve overall patient outcomes by providing consistent monitoring and personalized clinical recommendations. The novelty of AgentHeart lies in its ability to actively collaborate with clinicians, offering a dynamic, ongoing assessment of cardiovascular health that integrates clinical insights with evolving patient data. This creates a powerful tool that not only augments the decision-making process but also streamlines care delivery, ultimately aiming to transform cardiac healthcare practices.

Advantages :

• Continuous Monitoring: Provides ongoing analysis of patient cardiovascular data for timely risk detection.
• Transparent AI Collaboration: Functions as a trusted teammate with clear decision-making processes.
• Real-Time Actionable Guidance: Supports both clinicians and patients with immediate, relevant recommendations.
• Integration with Existing Systems: Seamlessly fits into current cardiac care workflows without disruption.
• Reduces Diagnostic Delays: Enhances efficiency by automating risk detection and clinical support.
• Improves Clinical Trust: Moves beyond "black-box" AI, allowing clinicians to understand and rely on AI outputs.
• Supports Continuous Clinical Reasoning: Offers ongoing insights rather than isolated diagnostic results.

Applications :

• Cardiology Clinics: Assists cardiologists with continuous patient monitoring and decision support.
• Radiology Departments: Enhances diagnostic accuracy in cardiovascular imaging and assessments.
• Remote Patient Monitoring: Enables real-time surveillance of at-risk patients outside clinical settings.
• Hospital Cardiac Care Units: Improves workflow efficiency and patient outcomes through integrated AI support.
• Telemedicine Platforms: Facilitates remote clinical decision-making with reliable AI assistance.
• Research and Clinical Trials: Provides comprehensive cardiovascular data analysis aiding experimental studies.

Intellectual Property Summary : Patent Pending

Stage of Development : TRL 3

Licensing Status : This technology is available for licensing.

About the Research Foundation for the State University of New York:

As the nation's largest research foundation supporting the nation's largest public university system, The Research Foundation for SUNY powers research and innovation to address today's most pressing problems and shape a better future for generations to come. The Research Foundations supports SUNY researchers leading the way globally in AI for the public good, quantum technologies, next-generation semiconductors, biotech and medicine, energy and climate solutions, and more. The Research Foundation for SUNY is a private, nonprofit educational corporation that is tax-exempt under Internal Revenue Code (IRC) Section 501(c)(3). To learn more, please visit us online at rfsuny.org .

About the State University of New York

The State University of New York is the largest comprehensive system of higher education in the United States, and more than 95 percent of all New Yorkers live within 30 miles of any one of SUNY’s 64 colleges and universities. Across the system, SUNY has four academic health centers, five hospitals, four medical schools, two dental schools, a law school, the country’s oldest school of maritime, the state's only college of optometry, 12 Educational Opportunity Centers, over 30 ATTAIN digital literacy labs, and manages one US Department of Energy National Laboratory. In total, SUNY serves about 1.7 million students across its portfolio of credit- and non-credit-bearing courses and programs, continuing education, and community outreach programs. SUNY oversees nearly a quarter of academic research in New York. Research expenditures system-wide are nearly $1.5 billion in fiscal year 2025, including significant contributions from students and faculty. There are more than three million SUNY alumni worldwide, and annually one in three New Yorkers who earn a college degree is a SUNY alum. To learn more about how SUNY creates opportunities, visit suny.edu .

Keywords

Contact Information

Matthew Sheiffer
Research Foundation for the State University of New York
matthew.sheiffer@rfsuny.org

Source

This article is based on a news release from Research Foundation for the State University of New York. BrightSurf curates and republishes science news from research institutions worldwide; the original release is linked below.

How to Cite This Article

APA:
Research Foundation for the State University of New York. (2026, September 18). An agentic AI platform for continuous cardiovascular monitoring and autonomous clinical decision support. Brightsurf News. https://www.brightsurf.com/news/LN24MD91/an-agentic-ai-platform-for-continuous-cardiovascular-monitoring-and-autonomous-clinical-decision-support.html
MLA:
"An agentic AI platform for continuous cardiovascular monitoring and autonomous clinical decision support." Brightsurf News, Sep. 18 2026, https://www.brightsurf.com/news/LN24MD91/an-agentic-ai-platform-for-continuous-cardiovascular-monitoring-and-autonomous-clinical-decision-support.html.