We’re proud to share that our latest research on AI thermography heart failure has been published in JACC: Advances, a leading cardiology journal.

The article, titled “Artificial intelligence-enabled analysis of thermography to diagnose acute decompensated heart failure”, presents a novel, non-invasive method to detect acute heart failure in hospitalized patients — accurately, safely, and within the first hours of admission. By combining thermographic imaging with artificial intelligence, our team demonstrated the potential of this approach as a powerful early diagnostic tool.

This publication marks a significant milestone in our mission: to develop scalable, clinically proven technologies that enhance early detection and improve outcomes in cardiovascular care.

The study is the result of a close collaboration between leading clinicians and our multidisciplinary team at CardioTherMetrics. It stands as a testament to what can be achieved when medical expertise, data science, and innovation come together to tackle some of the most urgent challenges in healthcare. This achievement marks a significant step in our ongoing commitment to applying AI in clinical settings. Our thermography-based solution is designed to support physicians in emergency rooms and wards by providing accurate, early-stage cardiovascular risk assessments. As we continue validating our technology, we aim to expand its use cases beyond heart failure to broader cardiopulmonary applications

📄 You can read the full article here:
👉 Access the publication on JACC: Advances