AIMC Topic: Male

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Robotic-Assisted Simple Prostatectomy: An Overview.

The Urologic clinics of North America
Despite widespread use of medical therapy for benign prostatic hyperplasia, a need remains for robust surgical therapy in select patients. Robotic-assisted simple prostatectomy (RASP) is an efficacious and safe therapy for patients with bladder outle...

Using a Checklist in Robotic-Assisted Laparoscopic Radical Prostatectomy Procedures.

AORN journal
Robotic surgical systems are relatively new in New Zealand and have been used mainly for laparoscopic radical prostatectomy. Checklists are successfully used in other industries and health care facilities, so we developed a checklist for use during r...

Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches.

Statistical applications in genetics and molecular biology
Modern biological experiments often involve high-dimensional data with thousands or more variables. A challenging problem is to identify the key variables that are related to a specific disease. Confounding this task is the vast number of statistical...

A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...

Validity of an Integrative Method for Processing Physical Activity Data.

Medicine and science in sports and exercise
UNLABELLED: Accurate assessments of both physical activity and sedentary behaviors are crucial to understand the health consequences of movement patterns and to track changes over time and in response to interventions.

Transcranial direct current stimulation (tDCS) of the primary motor cortex and robot-assisted arm training in chronic incomplete cervical spinal cord injury: A proof of concept sham-randomized clinical study.

NeuroRehabilitation
BACKGROUND: After cervical spinal cord injury, current options for treatment of upper extremity motor functions have been limited to traditional approaches. However, there is a substantial need to explore more rigorous alternative treatments to facil...

Using ordinal partition transition networks to analyze ECG data.

Chaos (Woodbury, N.Y.)
Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordinal pattern partition networks. The ordinal pattern partition networks are formed from the ECG time series by symbolizing the data into ordinal patter...

Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images.

Medicine
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect...

The power of data mining in diagnosis of childhood pneumonia.

Journal of the Royal Society, Interface
Childhood pneumonia is the leading cause of death of children under the age of 5 years globally. Diagnostic information on the presence of infection, severity and aetiology (bacterial versus viral) is crucial for appropriate treatment. However, the d...

Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance.

Schizophrenia bulletin
Previous studies have shown that structural brain changes are among the best-studied candidate markers for schizophrenia (SZ) along with functional connectivity (FC) alterations of resting-state (RS) patterns. This study aimed to investigate effects ...