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.
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