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Clinical research · Sleep ECG

Sleep-study AI adds to risk ranking in two hospital datasets

A new SLEEP paper reports better atrial-fibrillation risk ranking when an AI score from overnight ECGs is added to clinical information; patient benefit remains untested.

Read 2 sources · 1 min

Atrial-fibrillation C-index with 95% confidence intervals from Table 5. Emory: clinical covariates, 0.70 (0.69–0.72); clinical covariates plus AI, 0.75 (0.73–0.77). Beth Israel Deaconess: clinical covariates, 0.77 (0.75–0.79); clinical covariates plus AI, 0.81 (0.79–0.84). Both use a 0–1 scale. Same-study retrospective results; concordance is not percentage accuracy, risk reduction or demonstrated patient benefit.

Atrial-fibrillation risk ranking

Table 5 reports higher concordance when the AI score joins clinical covariates at both outside hospitals.

Emory

C-index
Clinical information0.70

95% CI 0.69–0.72

Clinical + AI score0.75

95% CI 0.73–0.77

Beth Israel Deaconess

C-index
Clinical information0.77

95% CI 0.75–0.79

Clinical + AI score0.81

95% CI 0.79–0.84

One retrospective study. Confidence intervals are 95%; C-index is risk/event ordering, not accuracy, risk reduction or patient benefit. Outcome-specific exclusions apply.

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