Novel AI-based physiological tracking of waves in atrial fibrillation identify active pulmonary veins, non-PV sites of termination
S Ruiperez-Campillo, C R Brodt, M N Faddis, T Fillon, S M Narayan · 2026
Read Novel AI-based physiological tracking of waves in atrial fibrillation identify active pulmonary veins, non-PV sites of termination by S Ruiperez-Campillo, C R Brodt, M N Faddis, T Fillon, S M Narayan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13302418.txt.
Description
S Ruiperez-Campillo and colleagues present, in a 2026 study, an artificial intelligence system that tracks wave patterns inside fibrillating hearts to find where the chaos is driven from. Ablation works best when doctors target the right sites, yet sources outside the lung veins are hard to locate. Brief moments of organised wave activity may betray those sources.
The system learned from more than ten million heart signals to separate nearby activity from distant noise, then mapped wave directions in 174 patients. Waves leaving the lung veins marked patients whose vein isolation worked better than in patients whose waves entered the veins. At spots where ablation stopped the rhythm, waves also tended to flow outward. The authors call for prospective testing of this guidance.
Catalog record
| CREATOR | S Ruiperez-Campillo, C R Brodt, M N Faddis, T Fillon, S M Narayan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |