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Machine learning differentiates right posterior from right anterior accessory pathways using 6-lead electrocardiograms in dogs with ventricular preexcitation.

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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
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  Data: Machine learning differentiates right posterior from right anterior accessory pathways using 6-lead electrocardiograms in dogs with ventricular preexcitation.
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  Data: <searchLink fieldCode="AU" term="%22Flanders+WH%22">Flanders WH</searchLink>; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.<br /><searchLink fieldCode="AU" term="%22Moïse+NS%22">Moïse NS</searchLink>; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.<br /><searchLink fieldCode="AU" term="%22Santilli+R%22">Santilli R</searchLink>; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.; 2Clinica Veterinaria Malpensa, Samarate, Varese, Italy.<br /><searchLink fieldCode="AU" term="%22Basran+PS%22">Basran PS</searchLink>; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.<br /><searchLink fieldCode="AU" term="%22Pariaut+R%22">Pariaut R</searchLink>; 1Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.<br /><searchLink fieldCode="AU" term="%22Perego+M%22">Perego M</searchLink>; 2Clinica Veterinaria Malpensa, Samarate, Varese, Italy.
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  Data: <searchLink fieldCode="JN" term="%227503067%22">Journal of the American Veterinary Medical Association</searchLink> [J Am Vet Med Assoc] 2025 Nov 12; Vol. 264 (5), pp. 1-9. <i>Date of Electronic Publication: </i>2025 Nov 12 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Veterinary+Medical+Association%22">American Veterinary Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7503067 <i>Publication Model: </i>Electronic-Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1943-569X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200031488%22">00031488 </searchLink><i>NLM ISO Abbreviation: </i>J Am Vet Med Assoc <i>Subsets: </i>MEDLINE
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              Text: 2025 Nov 12
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