Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms
We have developed convolutional neural network models that predict a wide range of echocardiographic findings, including left-sided cardiac abnormalities, valvular heart diseases, and right-sided cardiac abnormalities from ECGs and created a model to predict a composite findings label by logistic regression analysis. This model has potential to serve as an adjunct for early diagnosis and treatment of previously undetected cardiac disease.
Authors
- Mike Saji (ORCID: https://orcid.org/0000-0003-2057-109X)
- Katsuhito Fujiu (ORCID: https://orcid.org/0000-0002-1889-9291)
- Hiroyuki Watanabe (ORCID: https://orcid.org/0000-0001-8690-2416)
- Hideo Fujita (ORCID: https://orcid.org/0000-0002-4901-3502)
- Norifumi Takeda (ORCID: https://orcid.org/0000-0003-4818-3347)
- Hiroshi Akazawa (ORCID: https://orcid.org/0000-0002-3574-9607)
- Goro Fujiki
- Masao Takahashi (ORCID: https://orcid.org/0000-0002-3799-2256)
- Jiro Ando (ORCID: https://orcid.org/0000-0002-5591-5297)
- Susumu Katsushika
- Nahoko Kato (ORCID: https://orcid.org/0000-0003-0892-4366)
- Mamoru Nanasato (ORCID: https://orcid.org/0000-0003-3190-1621)
- Hiroyuki Morita (ORCID: https://orcid.org/0000-0003-0879-5576)
- Shinnosuke Sawano
- Minami Suzuki
- Hiroki Shinohara (ORCID: https://orcid.org/0000-0002-5903-8244)
- Naoto Setoguchi (ORCID: https://orcid.org/0000-0001-9203-4758)
- Shunichi Kushida
- Issei Komuro (ORCID: https://orcid.org/0000-0002-0714-7182)
- Satoshi Kodera (ORCID: https://orcid.org/0000-0003-2908-6875)
- Hisataka Maki
- Kengo Tanabe (ORCID: https://orcid.org/0000-0003-1312-5489)
- Kotaro Miyaji
- Masataka Satô
- Naoko Sawada
Institutions
- Jichi Medical University (JP)
- NTT Medical Center (JP)
- University of Tokyo Hospital (JP)
- Sakakibara Hospital (JP)
- Mitsui Memorial Hospital (JP)
- Asahi General Hospital (JP)
- JR Tokyo General Hospital (JP)
- Jichi Medical University Saitama Medical Center (JP)
- The University of Tokyo (JP)
- International University of Health and Welfare (JP)
Publication Details
- Journal
- JACC Asia
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1016/j.jacasi.2024.10.012
- Citations
- 1
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.42