Peer-reviewedCC BYClinical cardiology
Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single‐Lead ECG Signals for Detecting Moderate‐or‐Greater Aortic Stenosis: Multicenter External Validation
10 affiliations
- 1AMI Inc
- 2Kumamoto University
- 3Kagoshima University
- 4Kyoto University Hospital
- 5Saiseikai Kumamoto Hospital Cardiovascular Center
- 6Hokkaido Social Work Association Furano Hospital
- 7Mitsubishi Kyoto Hospital
- 8Sagara Hospital
- 9Tenyoukai Central Hospital and Central Clinic
- 10Kajiki Onsen Hospital
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BibTeX
@article{saito2026diagnostic,
title = {{Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single‐Lead ECG Signals for Detecting Moderate‐or‐Greater Aortic Stenosis: Multicenter External Validation}},
author = {Shumpei Saito and Masanobu Ishii and Shimpei Ogawa and Hiroshi Seki and Koshiro Ikeda and Youhei Kayano and Yuhei Yasui and Ginga Sato and Mitsuru Ohishi and Takuro Kubozono and Naritatsu Saito and Eri Toda Kato and Masahiro Yamada and Shunsuke Natori and Yuki Kunikane and Takafumi Yokomatsu and Masashi Kato and Yasuaki Sagara and Nami Uchiyama and Nobuhiko Atsuchi and Shota Kawahara and Shoji Natsugoe and Noriaki Tabata and Kenichi Tsujita},
journal = {Clinical cardiology},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13670203},
note = {CC BY},
}
RIS
TY - JOUR
TI - Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single‐Lead ECG Signals for Detecting Moderate‐or‐Greater Aortic Stenosis: Multicenter External Validation
AU - Shumpei Saito
AU - Masanobu Ishii
AU - Shimpei Ogawa
AU - Hiroshi Seki
AU - Koshiro Ikeda
AU - Youhei Kayano
AU - Yuhei Yasui
AU - Ginga Sato
AU - Mitsuru Ohishi
AU - Takuro Kubozono
AU - Naritatsu Saito
AU - Eri Toda Kato
AU - Masahiro Yamada
AU - Shunsuke Natori
AU - Yuki Kunikane
AU - Takafumi Yokomatsu
AU - Masashi Kato
AU - Yasuaki Sagara
AU - Nami Uchiyama
AU - Nobuhiko Atsuchi
AU - Shota Kawahara
AU - Shoji Natsugoe
AU - Noriaki Tabata
AU - Kenichi Tsujita
PY - 2026
DA - 2026/10/01
JO - Clinical cardiology
UR - https://europepmc.org/article/PMC/PMC13670203
SN - 0160-9289
SN - 1932-8737
ER -