A data-driven computational methodology for assessing ventricular ablation procedures
Filippo Caruso Lombardi, Anna Crispino, Bich Lien Nguyen, Nicola Galea, Alessandro Loppini, Simonetta Filippi, Francesco Viola, Alessio Gizzi · 2026
Read A data-driven computational methodology for assessing ventricular ablation procedures by Filippo Caruso Lombardi, Anna Crispino, Bich Lien Nguyen, Nicola Galea, Alessandro Loppini, Simonetta Filippi, Francesco Viola, Alessio Gizzi (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-13233656.txt.
Description
Filippo Caruso Lombardi and colleagues published a 2026 computational study on treating dangerous heart rhythms that persist after a heart attack. Scarred heart tissue can host circling electrical waves, and mapping them during procedures is difficult. The team built a data-driven framework that turns a patient's own mapping data, activation times, voltage maps, and electrical traces, into a personalized heart model.
A calibration step estimates local tissue conductivity so the model reproduces the patient's observed activation pattern. Clinicians can then test whether the rhythm starts and sustains, replay the actual burning treatment, and explore alternative lesion sets that suppress the rhythm with less tissue damage. The workflow runs on graphics processors and fits existing clinical practice, aiming to guide ablation planning.
Catalog record
| CREATOR | Filippo Caruso Lombardi, Anna Crispino, Bich Lien Nguyen, Nicola Galea, Alessandro Loppini, Simonetta Filippi, Francesco Viola, Alessio Gizzi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 95 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |