European Heart Journal
Heart-recording model detects and predicts a heart muscle disease
Its scores for distinguishing people with and without the condition ranged from 0.87 to 0.97, outperforming traditional heart-recording measures.Its scores for distinguishing people with and without the condition ranged from 0.87 to 0.97, outperforming traditional heart-recording measures.

Cohort studyBiomarkers
Who was studiedPeople undergoing heart recordings and ultrasound scans
What changedThe model distinguished existing disease better than traditional heart-recording measures, with scores ranging from 0.87 to 0.97
The catchEffects of score-guided care on monitoring demands and health outcomes were not measured