Machine learning differentiates right posterior from right anterior accessory pathways using 6-lead electrocardiograms in dogs with ventricular preexcitation.
Saved in:
| Title: | Machine learning differentiates right posterior from right anterior accessory pathways using 6-lead electrocardiograms in dogs with ventricular preexcitation. |
|---|---|
| Authors: | Flanders WH; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY., Moïse NS; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY., Santilli R; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.; 2Clinica Veterinaria Malpensa, Samarate, Varese, Italy., Basran PS; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY., Pariaut R; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY., Perego M; 2Clinica Veterinaria Malpensa, Samarate, Varese, Italy. |
| Source: | Journal of the American Veterinary Medical Association [J Am Vet Med Assoc] 2025 Nov 12; Vol. 264 (5), pp. 1-9. Date of Electronic Publication: 2025 Nov 12 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Veterinary Medical Association Country of Publication: United States NLM ID: 7503067 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1943-569X (Electronic) Linking ISSN: 00031488 NLM ISO Abbreviation: J Am Vet Med Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1943-569X |
|---|---|
| DOI: | 10.2460/javma.25.07.0453 |
