A transformer-based deep learning model for predicting the use of atherectomy devices during PCI from preprocedural cardiac computed tomography angiography.

Hino R; Nakano Y; Seo I; Shiku K; Okutsu M; Sadamatsu K; Serikawa T; Hasegawa K; Fujimoto Y; Yamada S; Takahashi Y; Kurogi K; Masuda N; Nakano M; Torii S; Tanabe M; Takeda Y; Noji Y; Shin T; Asakawa S; Imabayashi M; Mizokami G; Tabuchi T; Kimura M; Nagata T; Katsuki S; Oi K; Bise R; Abe K; Matoba T

doi:10.1093/ehjdh/ztag160

A transformer-based deep learning model for predicting the use of atherectomy devices during PCI from preprocedural cardiac computed tomography angiography.

Hino R Nakano Y Seo I Shiku K Okutsu M Sadamatsu K Serikawa T Hasegawa K Fujimoto Y Yamada S Takahashi Y Kurogi K Masuda N Nakano M Torii S Tanabe M Takeda Y Noji Y Shin T Asakawa S Imabayashi M Mizokami G Tabuchi T Kimura M Nagata T Katsuki S Oi K Bise R Abe K Matoba T

Journal: European heart journal. Digital health • 2026 Nov

Abstract

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Subjects & Keywords

# Biomedical Sciences # Life Sciences # Medicine

How to Cite this Article

                    Hino R, Nakano Y, Seo I, et al. (2026). "A transformer-based deep learning model for predicting the use of atherectomy devices during PCI from preprocedural cardiac computed tomography angiography.". European heart journal. Digital health. https://doi.org/10.1093/ehjdh/ztag160                

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Identifiers & Provenance

DOI: 10.1093/ehjdh/ztag160 ↗
PMCID: PMC13738076 ↗
PMID: 42992073 ↗
Primary Index: PMC