AIMC Topic: Female

Clear Filters Showing 23501 to 23510 of 29210 articles

Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

International journal of geriatric psychiatry
OBJECTIVE: Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and treatment is guided by trial and error instead of evaluating associated underlying brain characteristics. Unlike past studies, we attempted to estimate ...

Invited commentary on comparison of robotics, functional electrical stimulation, and motor learning methods for treatment of persistent upper extremity dysfunction after stroke: a randomized controlled trial.

Archives of physical medicine and rehabilitation
In this issue of Archives of Physical Medicine and Rehabilitation, Jessica McCabe and colleagues report findings from their methodologically sound, dose-matched clinical trial in 39 patients beyond 6 months poststroke. In this phase II trial, the eff...

An efficient machine learning approach for diagnosis of paraquat-poisoned patients.

Computers in biology and medicine
Numerous people die of paraquat (PQ) poisoning because they were not diagnosed and treated promptly at an early stage. Till now, determination of PQ levels in blood or urine is still the only way to confirm the PQ poisoning. In order to develop a new...

Single site robotic sentinel lymph node biopsy and hysterectomy in endometrial cancer.

Gynecologic oncology
OBJECTIVE: Sentinel lymph node (SLN) biopsy has been proposed as a safe and less morbid approach to full lymphadenectomy in endometrial cancer (EC) [1,2]. The role of single incision robotic surgery (SIRS) remains unclear in this setting [3,4]. The a...

Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

World journal of urology
INTRODUCTION: Adherent perirenal fat (APF) can be defined as inflammatory fat sticking to renal parenchyma, whose dissection is difficult and makes it troublesome to expose the tumour. Our objective was to evaluate the impact of APF on the technical ...

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Journal of neurophysiology
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of p...

Multi-motion robots control based on bioelectric signals from single-channel dry electrode.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
This article presents a multi-motion control system to help severe disabled people operate an auxiliary appliance using neck-up bioelectric signals measured by a single-channel dry electrode on the forehead. The single-channel dry-electrode multi-mot...

A Technique for Vascular Control During Robotic-assisted Laparoscopic Myomectomy.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To show and describe a unique method for improved vascular control when performing a robotic myomectomy.

Considering the effects of gender in child-robot interaction studies: comment on Srinivasan, et Al. (2013).

Perceptual and motor skills
Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction between children and an Isobot humanoid robot improved performance on standardized measures of imitation, planning, and execution of motor behaviors. The a...

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Human brain mapping
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying ...