SAIMO Survey on Artificial Intelligence in heart rhythm Monitoring
SurveyTest-SurveyNo algorithm is perfect.Algorithms that identify the majority of patients with arrhythmia, may also have a high false-positive rate, and vice-versa. High sensitivity is achieved at the expense of low specificity. How would you optimise the algorithm for the following situations? No algorithm is perfect.Algorithms that identify the majority of patients with arrhythmia, may also have a high false-positive rate, and vice-versa. High sensitivity is achieved at the expense of low specificity. How would you optimise the algorithm for the following situations?Patients with detected arrhythmiaPatients with alarm without arrhythmiaAF Screening in the general population (prevalence 100/1000)0 AF Screening after ESUS (prevalence 200/1000)0 Ventricular arrhythmia screening in syncope (prevalence 400/1000)0
No algorithm is perfect.
Algorithms that identify the majority of patients with arrhythmia, may also have a high false-positive rate, and vice-versa. High sensitivity is achieved at the expense of low specificity. How would you optimise the algorithm for the following situations?