Simplex Quantum’s AI-Powered Heart Failure Detection Published in JACC

We are excited to share that our research on NIHA-HF, an AI-powered heart failure detection technology, has been published in JACC: Basic to Translational Science. This publication, titled “NIHA-HF: An Artificial Intelligence Solution for Heart Failure Diagnosis and Monitoring Based on Lead-I Electrocardiogram,” highlights the groundbreaking potential of AI in detecting and monitoring heart failure using single-lead ECG data.

The study, conducted in collaboration with the University of Tokyo Hospital, focuses on NIHA-HF’s training data and its preclinical study. It explores how NIHA-HF has been trained on extensive ECG datasets and evaluated through preclinical studies to assess heart failure severity in a non-invasive and scalable manner. The findings demonstrate NIHA-HF’s ability to provide real-time risk assessments, enabling proactive monitoring and early intervention for patients at risk of heart failure.

Heart failure remains a major global health challenge, and early detection is key to improving patient outcomes. Our publication in JACC: Basic to Translational Science underscores the potential of AI-driven solutions like NIHA-HF in transforming cardiovascular care.
Full text available at: https://www.jacc.org/doi/10.1016/j.jacbts.2024.02.011

Simplex Quantum continues to advance the development of NIHA-HF as an innovative tool for heart failure diagnostics.