Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

12,224 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Deep Learning Models for Predicting Left Heart Abnormalities From Single-Lead Electrocardiogram for the Development of Wearable Devices.
Sato M, Kodera S, Setoguchi N, Tanabe K, Kushida S, Kanda J, Saji M, Nanasato M, Maki H, Fujita H, Kato N, Watanabe H, Suzuki M, Takahashi M, Sawada N, Yamasaki M, Sawano S, Katsushika S, Shinohara H, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Komuro I. Sato M, et al. Circ J. 2023 Dec 25;88(1):146-156. doi: 10.1253/circj.CJ-23-0216. Epub 2023 Nov 14. Circ J. 2023. PMID: 37967949 Free article.
Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays.
Sawano S, Kodera S, Sato M, Shinohara H, Kobayashi A, Takiguchi H, Hirose K, Kamon T, Saito A, Kiriyama H, Miura M, Minatsuki S, Kikuchi H, Takeda N, Morita H, Komuro I. Sawano S, et al. Among authors: sato m. Int Heart J. 2024;65(1):29-38. doi: 10.1536/ihj.23-402. Int Heart J. 2024. PMID: 38296576 Free article.
The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease.
Shinohara H, Kodera S, Nagae Y, Hiruma T, Kobayashi A, Sato M, Sawano S, Kamon T, Narita K, Hirose K, Kiriyama H, Saito A, Miura M, Minatsuki S, Kikuchi H, Takeda N, Akazawa H, Morita H, Komuro I. Shinohara H, et al. Among authors: sato m. PLoS One. 2024 Jun 18;19(6):e0304423. doi: 10.1371/journal.pone.0304423. eCollection 2024. PLoS One. 2024. PMID: 38889124 Free PMC article.
Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.
Sawano S, Kodera S, Setoguchi N, Tanabe K, Kushida S, Kanda J, Saji M, Nanasato M, Maki H, Fujita H, Kato N, Watanabe H, Suzuki M, Takahashi M, Sawada N, Yamasaki M, Sato M, Katsushika S, Shinohara H, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Komuro I. Sawano S, et al. Among authors: sato m. PLoS One. 2024 Aug 14;19(8):e0307978. doi: 10.1371/journal.pone.0307978. eCollection 2024. PLoS One. 2024. PMID: 39141600 Free PMC article.
Characteristics of Patients with Late-onset Intraocular Lens Dislocation: A Prospective Multicenter Clinical Cohort Study in Japan: Real-world data of late-onset IOL dislocation in Japan.
Hayashi K, Sato T, Gotoh N, Kamiya K, Kojima T, Sato M, Tabuchi H, Hatsusaka N, Tokuda Y; Data Analysis Committee of the Japanese Society of Cataract and Refractive Surgery. Hayashi K, et al. Among authors: sato m. Am J Ophthalmol. 2025 Jan 30:S0002-9394(25)00044-3. doi: 10.1016/j.ajo.2025.01.020. Online ahead of print. Am J Ophthalmol. 2025. PMID: 39892802
Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms.
Fujiki G, Kodera S, Setoguchi N, Tanabe K, Miyaji K, Kushida S, Saji M, Nanasato M, Maki H, Fujita H, Kato N, Watanabe H, Suzuki M, Takahashi M, Sawada N, Ando J, Sato M, Sawano S, Katsushika S, Shinohara H, Takeda N, Fujiu K, Akazawa H, Morita H, Komuro I. Fujiki G, et al. Among authors: sato m. JACC Asia. 2024 Dec 10;5(1):88-98. doi: 10.1016/j.jacasi.2024.10.012. eCollection 2025 Jan. JACC Asia. 2024. PMID: 39886205 Free PMC article.
12,224 results
You have reached the last available page of results. Please see the User Guide for more information.