Journal: Cancers
Article Title: Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients
doi: 10.3390/cancers17040605
Figure Lengend Snippet: Example of previously validated artificial intelligence models applied to single 12-lead electrocardiogram to predict risk of ( A ) low left ventricular ejection fraction and ( B ) new atrial fibrillation [ , , ]. Blue dots represent individual ECG recordings with a risk score below the pre-determined cutoff (reflected as the red dashed line), red triangle represent individual ECG recordings with risk scores above the pre-determined cutoff, and purple X represents the currently selected ECG.
Article Snippet: In this setting, Attia et al. reported an accuracy of 0.885 for the detection of low LVEF using a single ECG reading from an Apple watch (Apple Inc. via Apple Health Kit) within 30 days of confirmatory TTE [ ].
Techniques: