Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common way of screening and diagnosis. To combat respiratory infectious diseases and assist sampling, robots have been utilized and shown promising potentials. Nonetheless, a safe, patient-friendly, and low-cost swabbing system would be crucial for the practical implementation of robots in hospitals or inspe...
Robotic telesurgery systems, including master and slave robots, have emerged in recent years to provide benefits for both surgeons and patients. Surgeons use the master manipulator to navigate the slave robot. The Sina telesurgery system introduced recently by Sina Robotics and Medical Innovators Co., Ltd. consists of two main subsystems: master robotic surgery console and slave surgery robots. As...
There are approximately 13 million new stroke cases worldwide each year. Research has shown that robotics can provide practical and efficient solution...
Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Although many related experimental studies have been...
Traditional stereophonic acoustic echo cancellation algorithms need to estimate acoustic echo paths from stereo loudspeakers to a microphone, which of...
To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system in model experiment. The implantation of the 8 to ...
Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and separation. Moreover, an automatic speech recognit...
Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical management occurs in severe forms and/or unresponsi...
The aim of this study was to design a new deep learning framework for end-to-end processing of polysomnograms. This framework can be trained to analyz...
Radiology reports include various types of clinical information that are used for patient care. Reports are also expected to have secondary uses (e.g....
The development of artificial intelligence (AI) systems to support diagnostic decision-making is rapidly expanding in health care. However, important ...
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the classification performance for supraventricular ectopi...
Correlation of pathology reports with radiology examinations has long been of interest to radiologists and helps to facilitate peer learning. Such cor...
Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detailed studies of the microglial response after TBI req...
Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epochs, plays an important role in sleep monitoring and...
Automated and objective monitoring of eating behavior has received the attention of both the research community and the industry over the past few yea...
Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body ...
Individuals suffering from quadriplegia can achieve increased independence by using an assistive robotic manipulator (ARM). However, due to their disa...
Shared-control for assistive devices can increase the independence of individuals with motor impairments. However, each person is unique in their leve...
Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative ...