Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Identifying disease-gene associations is a fundamental and critical biomedical task towards understa...
SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susc...
The role of segmentectomy for lung cancer is expected to increase owing to the results of Japan Clin...
A brain-computer interface (BCI) is a system that allows a human operator to use only mental command...
To investigate the effect of individualized positive end expiratory pressure (PEEP) setting guided ...
The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described....
Rapid eye movement (REM) sleep behavior disorder (RBD) is parasomnia and a prodromal manifestation o...
Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can...
Finding a low dimensional representation of data from long-timescale trajectories of biomolecular pr...
SUMMARY: DeepKG is an end-to-end deep learning-based workflow that helps researchers automatically m...
Model-based control has great potential for use in real robots due to its high sampling efficiency. ...
PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an ind...
Convolutional neural networks (CNNs) evolved from Fukushima's neocognitron model, which is based on ...
Transfer learning is a common solution to address cross-domain identification problems in Human Acti...
Bioluminescence tomography (BLT) has received a lot of attention as an important technique in bio-op...
In contrast to previous studies that focused on classical machine learning algorithms and hand-craft...
Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary ...
There are approximately 13 million new stroke cases worldwide each year. Research has shown that rob...
Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Al...
Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical m...
The aim of this study was to design a new deep learning framework for end-to-end processing of polys...