AIMC Topic: Japan

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A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.

Nutrients
BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low r...

A clinical specific BERT developed using a huge Japanese clinical text corpus.

PloS one
Generalized language models that are pre-trained with a large corpus have achieved great performance on natural language tasks. While many pre-trained transformers for English are published, few models are available for Japanese text, especially in c...

Social implementation of a remote surgery system in Japan: a field experiment using a newly developed surgical robot via a commercial network.

Surgery today
PURPOSE: In recent years, the expectations for telesurgery have grown with the development of robot-assisted surgical technology and advances in communication technology. To verify the feasibility of the social implementation of telesurgery, we evalu...

Perception of yips among professional Japanese golfers: perspectives from a network modelled approach.

Scientific reports
'Yips' in golf is a complex spectrum of anxiety and movement-disorder that affects competitive sporting performance. With unclear etiology and high prevalence documented in western literature, the perception and management of this psycho-neuromuscula...

Trends and safety of robot-assisted partial nephrectomy during the initial 2-year period after government approval in Japan: A nationwide database study from 2016 to 2018.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To evaluate the trends and safety of robot-assisted partial nephrectomy during the initial 2-year period after government approval for this type of procedure in April 2016.

Initial experience of robot-assisted radical nephrectomy in Japan: Single institutional study of 12 cases.

Asian journal of endoscopic surgery
INTRODUCTION: To evaluate the initial experience of robot-assisted radical nephrectomy (RARN) in a single institution in Japan.

Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis.

Scientific reports
The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed model...