Non-invasive magnetic stimulation has the potential to be an effective treatment for Alzheimer's disease, which inevitably involves neurodegeneration of the hippocampus at the base...

The production of disposable diapers is rising due to an increase in number of elderly people who require nursing care. When providing diaper care, it is difficult to know remotely...

Ventricular fibrillation (VF) causes failure of synchronous contraction of the heart ventricles, resulting in cardiac collapse. Currently, VF is still the major cause of sudden car...

Numerous studies have suggested that sleep spindle waves may play a role in the hippocampal-cortical transmission of information associated with memory enhancement. In previous res...

Deterioration of the skin barrier function causes symptoms such as allergies because various chemical substances may enter the human body. Quantitative evaluation of the thickness ...

Laparoscopic surgery holds great promise in medicine but remains challenging for surgeons because it is difficult to perceive depth while suturing. In addition to binocular paralla...

Objective: The objective of the current study was to develop a novel, artificial intelligence (AI)-based system to diagnose coronavirus disease (COVID-19) using computed tomography...

A conventional electrolarynx (EL), which is used by laryngectomees, produces monotonous sound and occupies a user's hand; hence, we developed a hands-free wearable device that impr...

Sudden deterioration of condition in patients with various diseases, such as cardiopulmonary arrest, may result in poor outcome even after resuscitation. Early detection of deterio...

In addition to traditional clinical research, advances in information communication technologies facilitates new medical research using internet of things devices and other cutting...

Appropriate evaluation of the intraoperative state of a surgical team is essential for the improvement of teamwork and hence a safe surgical environment. Traditional methods to eva...

Computer-aided diagnostic methods that provide semantic segmentation of texture patterns of diffuse lung diseases (DLDs) on chest computed tomography (CT) are extremely useful for ...

Designing a deep neural network model that integrates clinical images with other electronic medical records entails various preprocessing operations. Preprocessing of clinical imag...

Currently, the shortage of care workers for the elderly has become a big problem, and more streamlined care operations are needed. In care facilities, care workers are required to ...

Virtual reality (VR) has been applied to several fields such as entertainment, education, and medicine in recent years. VR is characterized by a high sense of immersion, which can ...

High-frequency oscillation (HFO) is an important electrophysiological biomarker for estimating the epileptogenic zone in patients with epilepsy, but its clinical use is limited due...

We developed a virtual reality (VR)-based gait training system for inpatients aiming to improve their gait performance in a simulated home environment and to reduce the risk of fal...

Segmenting blood vessels is an important step in a wide variety of tasks in medical image analysis. Patch-based convolutional neural networks (CNNs) are often used for vascular det...

The creation of laser surgical systems with feedback, which allows performance of high-precision low-trauma operations, is the current trend of modern surgery. CO2 lasers with puls...

Physical analgesia has been used for the treatment of sports injuries. We previously developed a special patch (bumpy patch, BP) that adds pressure to the pain area, demonstrating ...