Echo-Guided Machine Learning Boosts Accuracy in Heart Tumor Diagnosis

Machine learning elevates echocardiography, enhancing heart tumor diagnosis.

Staffordshire University researchers achieve near-perfect AUC scores.

The study uses random forest and other models for diagnostic precision

94% accuracy in real-world settings, a leap in cardiac care.

AI integration promises noninvasive, patient-centric diagnostic processes.