AIMC Topic: Japan
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Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs.
PloS one
Sep 11, 2024
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication orders, are receiving increasing attention from researchers and practitioners. While structured data have played a vital role thus far, unstructured d...
Digital therapeutics in hypertension: How to make sustainable lifestyle changes.
Journal of clinical hypertension (Greenwich, Conn.)
Sep 9, 2024
Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be ...
The Future of Sustainable Neurosurgery: Is a Moonshot Plan for Artificial Intelligence and Robot-Assisted Surgery Possible in Japan?
World neurosurgery
Aug 30, 2024
Japanese neurosurgery faces challenges such as a declining number of neurosurgeons and their concentration in urban areas. Particularly in rural areas, access to neurosurgical care for patients with conditions, such as stroke, is limited, raising con...
From expansion to efficiency: Machine learning-based forecasting of Japan's building material stocks under demographic declines.
The Science of the total environment
Aug 19, 2024
Japan's unique demographic trajectory, marked by population decline and aging, coupled with continued urbanization, presents distinct challenges for aligning built environment capacity with resource efficiency. This study aims to investigate the hist...
Educational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study.
JMIR medical education
Aug 13, 2024
BACKGROUND: Evaluating the accuracy and educational utility of artificial intelligence-generated medical cases, especially those produced by large language models such as ChatGPT-4 (developed by OpenAI), is crucial yet underexplored.
Identifying sex from pharyngeal images using deep learning algorithm.
Scientific reports
Aug 2, 2024
The pharynx is one of the few areas in the body where blood vessels and immune tissues can readily be observed from outside the body non-invasively. Although prior studies have found that sex could be identified from retinal images using artificial i...
Transforming Echocardiography: The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Accessibility.
Internal medicine (Tokyo, Japan)
Jul 25, 2024
Artificial intelligence (AI) has shown transformative potential in various medical fields, including diagnostic imaging. Recent advances in AI-driven technologies have opened new avenues for improving echocardiographic practices. AI algorithms enhanc...
Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers.
Scientific reports
Jul 10, 2024
In empirical art research, understanding how viewers judge visual artworks as beautiful is often explored through the study of attributes-specific inherent characteristics or artwork features such as color, complexity, and emotional expressiveness. T...
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan.
The Lancet. Digital health
Jul 8, 2024
BACKGROUND: Chest x-ray is a basic, cost-effective, and widely available imaging method that is used for static assessments of organic diseases and anatomical abnormalities, but its ability to estimate dynamic measurements such as pulmonary function ...
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.
Geriatrics & gerontology international
Jun 29, 2024
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
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