AIMC Topic: Middle Aged

Clear Filters Showing 13271 to 13280 of 17155 articles

Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning.

Human brain mapping
Previous studies have suggested that disorders of consciousness (DOC) after severe brain injury may result from disconnections of the thalamo-cortical system. However, thalamo-cortical connectivity differences between vegetative state (VS), minimally...

Performance-based robotic assistance during rhythmic arm exercises.

Journal of neuroengineering and rehabilitation
BACKGROUND: Rhythmic and discrete upper-limb movements are two fundamental motor primitives controlled by different neural pathways, at least partially. After stroke, both primitives can be impaired. Both conventional and robot-assisted therapies mai...

A pre-trained convolutional neural network based method for thyroid nodule diagnosis.

Ultrasonics
In ultrasound images, most thyroid nodules are in heterogeneous appearances with various internal components and also have vague boundaries, so it is difficult for physicians to discriminate malignant thyroid nodules from benign ones. In this study, ...

Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder.

NeuroImage
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to diff...

Indications, technique, and results of robotic pancreatoduodenectomy.

Updates in surgery
Robotic assistance improves surgical dexterity in minimally invasive operations, especially when fine dissection and multiple sutures are required. As such, robotic assistance could be rewarding in the setting of robotic pancreatoduodenectomy (RPD). ...

Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks.

International journal of injury control and safety promotion
Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too...

Robot-assisted versus laparoscopic surgery for lower rectal cancer: the impact of visceral obesity on surgical outcomes.

International journal of colorectal disease
PURPOSE: The purpose of this study was to evaluate the advantages of robot-assisted laparoscopic surgery (RALS) for lower rectal cancer and for visceral obesity cases, which have been regarded as challenging situations in rectal cancer surgery, compa...

Test-retest reliability and four-week changes in cardiopulmonary fitness in stroke patients: evaluation using a robotics-assisted tilt table.

BMC neurology
BACKGROUND: Exercise testing devices for evaluating cardiopulmonary fitness in patients with severe disability after stroke are lacking, but we have adapted a robotics-assisted tilt table (RATT) for cardiopulmonary exercise testing (CPET). Using the ...

Temporal changes in plasma markers of oxidative stress following laparoscopic sleeve gastrectomy in subjects with impaired glucose regulation.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associated metabolic complications. Obesity and type 2 diabetes are associated with increased oxidative stress. Previous studies have examined changes in plas...

Robotic single site staging in endometrial cancer: A multi-institution study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
OBJECTIVE: To evaluate the feasibility and the safety of robotic single site hysterectomy (RSSH) plus or less pelvic lymphadenectomy in FIGO stage I-II endometrial cancer.