AIMC Topic: Japan

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Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.

PloS one Aug 21, 2025
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).
Adult Male Middle Aged Retrospective Studies Female Aged East Asian People Fundus Oculi Retina Japan Deep Learning ROC Curve Metabolic Syndrome Humans Neural Networks, Computer
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Incorporation of Metabolic Dysfunction-Associated Steatotic Liver Disease in the Health Stage of Cardiovascular-Kidney-Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population.

Journal of the American Heart Association Aug 6, 2025
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed condition encompassing metabolic dysfunction, chronic kidney disease, and cardiovascular diseases including coronary artery disease (CAD). Although concomitant metaboli...
Humans Prognosis Female Risk Factors East Asian People Predictive Value of Tests Coronary Artery Disease Japan Cardio-Renal Syndrome Risk Assessment Fatty Liver Metabolic Syndrome Aged Male Middle Aged
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Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.

World journal of urology Aug 4, 2025
PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult women using an unsupervised machine learning approach and to examine their associations with patient-centered outcomes, including quality of life (QoL...
Adult Middle Aged Quality of Life Female Aged Young Adult Unsupervised Machine Learning Japan Lower Urinary Tract Symptoms Humans Machine Learning
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Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study.

JMIR medical education Jul 30, 2025
BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-have demonstrated high correct-answer rates in medical examinations. GPT-4o has enhanced diagnostic capabilities, advanced image processing, and update...
Educational Measurement Japan General Surgery Humans Artificial Intelligence Clinical Competence
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Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Scientific reports Jul 29, 2025
Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual responses vary, necessitating personalized treatment strategies. Conventional approaches prioritize treating high-risk patients, but advancements in m...
Female Aged Male Cardiovascular Diseases Middle Aged Japan Treatment Outcome Hydroxymethylglutaryl-CoA Reductase Inhibitors Humans Machine Learning Propensity Score Databases, Factual
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Effect of a communication robot in the prevention of postoperative delirium in older persons: A randomized controlled trial.

PloS one Jul 29, 2025
Japan Clinical Trials Registry (jRCT) (URL: https://jrct.mhlw.go.jp; No. jRCT1030250018; date: April 1, 2025; retrospectively registered).
Aged, 80 and over Communication Male Delirium Japan Postoperative Complications Robotics Humans Female Aged
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A natural language processing approach to support biomedical data harmonization: Leveraging large language models.

PloS one Jul 24, 2025
BACKGROUND: Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. Automated methods ...
Alzheimer Disease Semantics Large Language Models Language Biomedical Research Humans Natural Language Processing Japan
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Analysis of aPTT predictors after unfractionated heparin administration in intensive care units using machine learning models.

PloS one Jul 21, 2025
OBJECTIVES: Predicting optimal coagulation control using heparin in intensive care units (ICUs) remains a significant challenge. This study aimed to develop a machine learning (ML) model to predict activated partial thromboplastin time (aPTT) in ICU ...
ROC Curve Heparin Humans Anticoagulants Aged Japan Machine Learning Male Partial Thromboplastin Time Intensive Care Units Middle Aged Female
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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.

JMIR medical informatics Jul 8, 2025
BACKGROUND: Disease name recognition is a fundamental task in clinical natural language processing, enabling the extraction of critical patient information from electronic health records. While recent advances in large language models (LLMs) have sho...
Disease East Asian People Large Language Models Natural Language Processing Humans Japan Electronic Health Records Language
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Evaluating the Accuracy and Performance of ChatGPT-4o in Solving Japanese National Dental Technician Examination.

International dental journal Jun 9, 2025
INTRODUCTION AND AIMS: With advancements in artificial intelligence (AI), its role in education and examinations is expanding. This study aimed to evaluate the accuracy and response capability of ChatGPT-4o in solving questions from the Japanese Nati...
Educational Measurement Generative Artificial Intelligence Education, Dental Japan
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