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Discussion on robot-assisted laparoscopic cystectomy and Ileal neobladder surgery preoperative care.

Pakistan journal of pharmaceutical sciences
To investigate the clinical applications of robot-assisted radical cystectomy with orthotopic ileal neobladder (RARC-INB) and make a preliminary summary. Retrospective analysis the clinical data of 12 patients underwent robotic bladder cancer (da vin...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

Current Alzheimer research
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differences between healthy and demented are very subtle. High dimensional classification methods based on...

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Current Alzheimer research
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most prevalent tools for AD diagnosis is magnetic resonance imaging (MRI), because of its capability to visu...

Prediction of Lumbar Disc Herniation Patients' Satisfaction with the Aid of an Artificial Neural Network.

Turkish neurosurgery
AIM: To identify key determinants of lumbar disc herniation (LDH) patients' satisfaction and to evaluate the efficiency of an artificial neural network (ANN) model to prognosticate satisfaction derived from the hospital stay in this specific patient ...

Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical Findings.

Asian Pacific journal of cancer prevention : APJCP
Determination of the colorectal cancer stage is possible only after surgery based on pathology results. However, sometimes this may prove impossible. The aim of the present study was to determine colorectal cancer stage using three clustering methods...

Best facilitated cortical activation during different stepping, treadmill, and robot-assisted walking training paradigms and speeds: A functional near-infrared spectroscopy neuroimaging study.

NeuroRehabilitation
BACKGROUND: Robot-assisted and treadmill-gait training are promising neurorehabilitation techniques, with advantages over conventional gait training, but the neural substrates underpinning locomotor control remain unknown particularly during differen...

Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study.

NeuroRehabilitation
BACKGROUND: Locomotor training with a robot-assisted gait orthosis (LT-RGO) and transcranial direct current stimulation (tDCS) are interventions that can significantly enhance motor performance after spinal cord injury (SCI). No studies have investig...

Disk hernia and spondylolisthesis diagnosis using biomechanical features and neural network.

Technology and health care : official journal of the European Society for Engineering and Medicine
Artificial neural networks have found applications in various areas of medical diagnosis. The capability of neural networks to learn medical data, mining useful and complex relationships that exist between attributes has earned it a major domain in d...