What question did this study set out to answer?

To evaluate the feasibility of a single-sagittal-plane deep learning approach for monitoring bladder volume continuously.

June 27, 2026Open Access

A new single-sagittal-plane deep learning approach for continuous bladder volume monitoring: a feasibility study

JKJunhwan KwonDNACARE (South Korea)ISIlseob SongSogang University SPSangEun ParkDNACARE (South Korea)

Key Points

To evaluate the feasibility of a single-sagittal-plane deep learning approach for monitoring bladder volume continuously.
Utilized a deep learning algorithm for bladder volume assessment
Applied continuous monitoring using ultrasonography
Conducted a feasibility analysis to assess accuracy and reliability
Achieved accurate bladder volume estimations using the proposed method
Demonstrated potential for continuous monitoring
Showed improvements over traditional methods in preliminary assessments

Abstract

Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound, Aims and Scope:Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound.It is published four times per year: January 1, April 1, July 1, and October 1. Original articles, topical reviews, pictorial essays, and notable case reports are published in Ultrasonography covering state-of-the-art content. Ultrasonography also serves as a medium for cooperation among physicians and specialists from around the world who are focusing on various ultrasound technology and disease problems.

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