
AI finds heart risk in routine breast mammograms
A massive new study shows AI can spot cardiovascular danger on routine mammograms, but the technology faces a major reality check when compared to standard clinical risk calculators.
Discover the newest research about AI innovations in 🫀 Cardiology.

A massive new study shows AI can spot cardiovascular danger on routine mammograms, but the technology faces a major reality check when compared to standard clinical risk calculators.

Smartwatches and rings are marketed as lifesaving heart monitors, but new data shows their single-lead AI systems fail the very patients who need them most.

A new deep learning model proves that artificial intelligence does not just mimic old diagnostic rules to spot deadly heart valve disease—it finds hidden signals doctors have been missing for decades.

A new machine learning model stops doctors from misdiagnosing cardiac amyloidosis as more common heart conditions.

A new machine learning model uses dual ultrasound measurements to identify severe liver damage, offering a way to bypass painful and risky biopsies.

A new AI model uses standard heart scans to calculate your biological age, spotting hidden heart risks even when using cheap wearable devices.

Automated PDA detection via Doppler ultrasound achieves 95% AUC using TimeSformer model. Promising for pediatric heart care! 🩺📊

Support app RescQ aids over 260 bystanders of cardiac arrests in Essex, offering vital resources and psychological support. 🫀📱

AI analyzes mammograms to predict heart disease risk. This innovative approach uses standard breast cancer screening methods. 🩺💔

AI is improving cardiac imaging, aiding in the diagnosis of heart diseases. Heart health remains a global priority. ❤️🩺