
AI predicts multiple diseases from standard ECGs
A new AI model shows that a simple heart scan can flag future brain, lung, and kidney diseases years before they manifest.
Discover the newest research about AI innovations in 🫀 Cardiology.

A new AI model shows that a simple heart scan can flag future brain, lung, and kidney diseases years before they manifest.

Before the results of a massive cardiovascular trial were made public, an AI model had already mapped out the drug’s success with startling precision.

A new machine learning model flags life-threatening heart complications before standard clinical guidelines can spot them.

A new multimodal AI model outperforms standard PET scan metrics to catch blocked coronary arteries before they cause a heart attack.

A new deep learning model proves that standard health checkups hold hidden, complex patterns that traditional risk calculators completely miss.

A new open-source AI matches human precision in tracing heart structures but falls short on the critical calculations doctors use to make treatment decisions.

By consolidating complex cardiac measurements into a single view, a new deep-learning model challenges the clinical habit of ignoring the right side of the heart.

An AI model can spot heart failure risk day-by-day using standard electrocardiograms, but its performance drops when crossing oceans.

A specialized neural network outperformed both emergency physicians and general-purpose chatbots in detecting life-threatening heart blockages on electrocardiograms.

A new AI foundation model trained on over 800,000 heart videos can predict surgical needs directly from angiograms, challenging the traditional reliance on human-only visual interpretation in the cath lab.