AIMC Topic: Japan

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Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study.

JMIR medical education
BACKGROUND: While artificial intelligence (AI)-generated feedback offers significant potential to overcome constraints on faculty time and resources associated with providing personalized feedback, its perceived usefulness can be undermined by algori...

Development of a machine learning-based model for predicting the functional outcome of patients with proximal femur fractures.

Scientific reports
Early-stage rehabilitation is crucial for the functional recovery of patients with proximal femur fractures. Predicting functional prognosis at such an early stage can simplify the process of planning for transfers and discharge destinations, as well...

Developing an AI-driven multimodal approach to visualising resilient team performance: joint attentional engagement with gaze and speech in simulated emergency scenarios.

BMJ open quality
INTRODUCTION: Healthcare team performance directly impacts the quality and safety of medical care. However, measuring the performance of teams is challenging and requires methodologies to investigate different contributing elements. This study propos...

The Validity of Generative Artificial Intelligence in Evaluating Medical Students in Objective Structured Clinical Examination: Experimental Study.

JMIR formative research
BACKGROUND: The Objective Structured Clinical Examination (OSCE) has been widely used to evaluate students in medical education. However, it is resource-intensive, presenting challenges in implementation. We hypothesized that generative artificial in...

Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial.

JMIR research protocols
BACKGROUND: A high intake of dietary fiber has been shown to improve glycemic control and decrease hyperinsulinemia in people living with type 2 diabetes (T2D). T2D patients in Japan consume less than the recommended amount of fiber. Based on finding...

China Played a Greater Role in Reducing the Deposition of Japan and Korea Than Themselves.

Environmental science & technology
China has been identified as a major contributor to transboundary air pollution in East Asia with a great impact on downwind countries (e.g., Japan and the Republic of Korea) through transboundary transport of air pollutants. While aggressive polluti...

Perceptions and Intentions to Use Generative AI Among First-Year Medical Students in Japan: Cross-Sectional Survey Study.

JMIR medical education
An April 2025 survey of 118 first-year Japanese medical students found high use of generative artificial intelligence (84.7%) but limited formal learning (49.2%), with strong learning interest yet neutral assignment use, indicating a need for structu...

Association of deep learning-derived optic nerve morphology with Parkinson's disease and drug-induced Parkinsonism: Findings from the LIFE Study.

Journal of the neurological sciences
BACKGROUND: There is a growing need for alternative imaging measures to better understand the neurodegenerative pathology of Parkinson's disease and related conditions, such as drug-induced Parkinsonism. This study investigated the link between optic...

Quality Assessment of Large Language Model-Generated Medical Dialogue for Clinical Vignettes: Evaluation Study.

JMIR formative research
BACKGROUND: Traditional clinical vignettes, though widely used in medical education, often focus on prototypical presentations; require substantial time and effort to develop; and fail to represent patient diversity, the complexity of clinical condit...

Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese.

PloS one
The purpose of this study was to estimate the artificial intelligence (AI) detection potential using stylometric analysis in Study 1 and examine the AI detection abilities of humans in Study 2. In Study 1, we compared 100 human-written public comment...