Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan

The results indicate that a deep learning-based algorithm can detect hypertension with high accuracy using pharyngeal images.

Authors

Memori Fukuda (ORCID: https://orcid.org/0000-0003-3860-9316)
Yusuke Tsugawa (ORCID: https://orcid.org/0000-0002-1937-4833)
Takeo Nakayama (ORCID: https://orcid.org/0000-0002-7918-6252)
Sho Okiyama (ORCID: https://orcid.org/0000-0001-6087-7865)
Hiroshi Yoshihara (ORCID: https://orcid.org/0000-0001-5297-3822)

Institutions

University of California, Los Angeles (US)
Kyoto University (JP)
Kyoto College of Graduate Studies for Informatics (JP)
Japanese Red Cross Medical Center (JP)

Publication Details

Journal: BMJ Health & Care Informatics
Published: 2024-10-01
DOI: https://doi.org/10.1136/bmjhci-2023-100824
Citations: 2
Primary Topic: Phonocardiography and Auscultation Techniques
Type: article
Field-Weighted Citation Impact: 0.84

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article

Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan

Memori Fukuda, Yusuke Tsugawa, Takeo Nakayama, Sho Okiyama et al.

Oct 1, 2024

2 citations

BMJ Health & Care Informatics

Phonocardiography and Auscultation Techniques

0.84

article

Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan

Memori Fukuda, Yusuke Tsugawa, Takeo Nakayama, Sho Okiyama, Hiroshi Yoshihara

October 1, 2024article en

2 citations

Abstract

The results indicate that a deep learning-based algorithm can detect hypertension with high accuracy using pharyngeal images.

BMJ Health & Care InformaticsVol. 31(1)

University of California, Los Angeles (US), Kyoto University (JP), Kyoto College of Graduate Studies for Informatics (JP), Japanese Red Cross Medical Center (JP)

Quality Education

Openalex Percentile: Top 23%

Phonocardiography and Auscultation Techniques

0.84

DOI Open Access PDF OpenAlex

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Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan — Memori Fukuda, Yusuke Tsugawa, et al. · BMJ Health & Care Informatics (2024) | TGRS Research Map | TGRS