Recent advances in large language models (LLMs) enable domain-specific question answering using external knowledge. However, addressing information that is not included in training data remains a challenge, particularly in nuclear medicine, where exa...
BACKGROUND: Recently, western countries have built evidence on mammographic artificial Intelligence-computer-aided diagnosis (AI-CADx) systems; however, their effectiveness has not yet been sufficiently validated in Japanese women. In this study, we ...
Archives of gerontology and geriatrics
Sep 1, 2025
BACKGROUND & AIMS: Internet use among older adults may reduce the risk of dementia, but it remains unknown how the effects vary across individuals. The aim of this study was to rigorously examine heterogeneity in the association between internet use ...
BACKGROUND: The internet is a primary source of health information for breast cancer patients, but online content quality varies widely. This study aimed to evaluate the capability of large language models (LLMs), including ChatGPT and Claude, to ass...
Studies in health technology and informatics
Aug 7, 2025
In this study, we combined automatically generated labels from large language models (LLMs) with a small number of manual annotations to classify adverse event-related treatment discontinuations in Japanese EHRs. By fine-tuning JMedRoBERTa and T5 on ...
Studies in health technology and informatics
Aug 7, 2025
This study addresses privacy concerns in multi-institutional data sharing by applying federated learning (FL) to develop a predictive model for prolonged air leaks (PAL) following video-assisted thoracoscopic surgery (VATS). Utilizing standardized el...
Studies in health technology and informatics
Aug 7, 2025
In Japan, chat-based mental health counseling services have low response rates due to understaffing. In this article, machine learning (ML) based suicide risk classification methods are proposed. A dataset was constructed including a medical question...
Studies in health technology and informatics
Aug 7, 2025
Medication errors significantly challenge healthcare, necessitating innovative analytical methods. This study explored generative pre-trained language models (LLMs) for Named Entity Recognition (NER) in Japanese medical incident reports. We assessed ...
Studies in health technology and informatics
Aug 7, 2025
INTRODUCTION: The misuse of over-the-counter (OTC) drugs poses a significant global public health challenge. This study proposes a system for detecting and visualizing inappropriate OTC drug use in social media data.
Studies in health technology and informatics
Aug 7, 2025
There is a growing demand for medical pseudo-data that maintains statistical utility, enabling the analysis of a wide range of medical data without compromising patient privacy. Additionally, there is a growing need for effective sequence prediction ...
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