AI meets quantum tech for cardiac diagnosis in Berlin

A groundbreaking medical research project launching in November 2025 could transform how doctors diagnose heart disease. The "QuantumCardiology-AI" initiative at Humboldt University Berlin and MSB Medical School Berlin represents one of the first large-scale quantum cardiology projects outside China.

Led by Prof. Dr. Niels Wessel, the project combines quantum sensors with artificial intelligence to detect subtle patterns in the heart's magnetic field. According to information from Humboldt University's press release, this innovative approach could enable earlier and more precise diagnosis of cardiovascular diseases through non-invasive, real-time screening.

The research builds on over 20 years of expertise from Prof. Wessel's Cardiovascular Physics group, which has collected thousands of high-sensitivity magnetocardiography datasets from clinical practice. "We know the diagnostic potential hidden in the finest modulations of the heart's magnetic field," Prof. Wessel explains. "With AI, we can make this information usable on a large scale for the first time."

The technology uses deep learning algorithms to analyze magnetic field variations that are invisible to conventional diagnostic methods. Early results suggest the system could identify early signs of cardiovascular disease almost instantly, potentially saving countless lives through preventive care.

The project aligns perfectly with Germany's High-Tech Agenda 2025, which identifies quantum sensors and medical AI as key technologies for the future. Berlin's research institutions are actively seeking partnerships with hospitals, industry, and research organizations to accelerate clinical implementation.

This initiative showcases Berlin's growing reputation as a quantum technology powerhouse, positioning the city alongside global leaders in medical innovation while strengthening Germany's competitive edge in healthcare technology.