AI Medical Compendium Journal:
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association

Showing 1 to 7 of 7 articles

Retrieval-augmented generation enhances large language model performance on the Japanese orthopedic board examination.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
INTRODUCTION: Large language models (LLMs) have shown potential in medical applications. However, their effectiveness in specialized medical domains remains underexplored. The integration of Retrieval-Augmented Generation (RAG) has been proposed to i...

Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...

Deep learning-based screening tool for rotator cuff tears on shoulder radiography.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: Early diagnosis of rotator cuff tears is essential for appropriate and timely treatment. Although radiography is the most used technique in clinical practice, it is difficult to accurately rule out rotator cuff tears as an initial imaging...

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in Japan and is expected to improve the quality of medical care. However, surgeons must register ten detailed features for total hip arthroplasty, which ...

Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual...