Risk stratification of patients with syncope in the emergency department using ECG based artificial intelligence models

Asger Knudsen; Johannes Jan Struijk; Sam Riahi; Mikkel Porsborg Andersen; Helle Collatz Christensen; Christian Torp-Pedersen; Kristian Kragholm; Jørgen K Kanters; Christoffer Polcwiartek; Claus Graff

doi:10.1038/s41598-026-49475-2

Risk stratification of patients with syncope in the emergency department using ECG based artificial intelligence models

Asger Knudsen^*, Johannes Jan Struijk, Sam Riahi, Mikkel Porsborg Andersen, Helle Collatz Christensen, Christian Torp-Pedersen, Kristian Kragholm, Jørgen K Kanters, Christoffer Polcwiartek, Claus Graff

^*Corresponding author for this work

Steno Diabetes Center Copenhagen

Original language	English
Journal	Scientific Reports
ISSN	2045-2322
DOIs	https://doi.org/10.1038/s41598-026-49475-2
Publication status	E-pub ahead of print - 20 Apr 2026

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10.1038/s41598-026-49475-2Licence: CC BY-NC-ND

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Knudsen, A., Struijk, J. J., Riahi, S., Andersen, M. P., Christensen, H. C., Torp-Pedersen, C., Kragholm, K., Kanters, J. K., Polcwiartek, C., & Graff, C. (2026). Risk stratification of patients with syncope in the emergency department using ECG based artificial intelligence models. Scientific Reports. Advance online publication. https://doi.org/10.1038/s41598-026-49475-2

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T1 - Risk stratification of patients with syncope in the emergency department using ECG based artificial intelligence models

AU - Knudsen, Asger

AU - Struijk, Johannes Jan

AU - Riahi, Sam

AU - Andersen, Mikkel Porsborg

AU - Christensen, Helle Collatz

AU - Torp-Pedersen, Christian

AU - Kragholm, Kristian

AU - Kanters, Jørgen K

AU - Polcwiartek, Christoffer

AU - Graff, Claus

PY - 2026/4/20

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U2 - 10.1038/s41598-026-49475-2

DO - 10.1038/s41598-026-49475-2

M3 - Journal article

C2 - 42002604

SN - 2045-2322

JO - Scientific Reports

JF - Scientific Reports

ER -