Publications by authors named "N Agata"

Introduction: Measuring range of motion (ROM) is an important skill for clinicians because it can help in the accurate interpretation of a patient's condition. Recently, ROM tests using smartphone applications have been performed in clinical settings, with the tests demonstrating high reliability and validity. This study aimed to identify the usefulness of ROM tests conducted using smartphone applications by examining the reliability of straight leg raise (SLR) and hip extension (HE) tests.

View Article and Find Full Text PDF
Article Synopsis
  • Primary angle closure glaucoma (PACG) is a significant cause of vision loss in Asia, and current screening methods are complicated and require expert skills.
  • This study aims to create an AI algorithm that predicts anterior chamber depth (ACD) from smartphone photos taken with a portable slit-lamp microscope, making it a faster screening option for PACG.
  • The developed model shows high accuracy in predicting ACD and effectively estimating the risk of angle closure, laying the foundation for future advancements in PACG screening methods.
View Article and Find Full Text PDF

The developmental changes in the excitation-contraction mechanisms of the ventricular myocardium of small animals (guinea pig, rat, mouse) and their sympathetic regulation will be summarized. The action potential duration monotonically decreases during pre- and postnatal development in the rat and mouse, while in the guinea pig it decreases during the fetal stage but turns into an increase just before birth. Such changes can be attributed to changes in the repolarizing potassium currents.

View Article and Find Full Text PDF

Lymphatic vessels are actively involved in the recovery process of inflamed tissues. However, the changes in intramuscular lymphatic vessels during inflammation caused by skeletal muscle injury remain unclear. Therefore, the purpose of this study was to clarify the changes in lymphatic vessels after skeletal muscle injury.

View Article and Find Full Text PDF

In ophthalmology, the availability of many fundus photographs and optical coherence tomography images has spurred consideration of using artificial intelligence (AI) for diagnosing retinal and optic nerve disorders. However, AI application for diagnosing anterior segment eye conditions remains unfeasible due to limited standardized images and analysis models. We addressed this limitation by augmenting the quantity of standardized optical images using a video-recordable slit-lamp device.

View Article and Find Full Text PDF