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Multivariate decoding of cerebral blood flow measures in a clinical model of on-going postsurgical pain.

Human brain mapping
Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use to detect prognostic and diagnostic markers of pain. However, applications to date have focussed on acute experimental nociceptive stimuli rather tha...

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

NeuroImage
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be important to identify MCI patients at high risk for conversion to AD. In this s...

Robotic right colectomy with intracorporeal anastomosis compared with laparoscopic right colectomy with extracorporeal and intracorporeal anastomosis: a retrospective multicentre study.

Surgical endoscopy
BACKGROUND: Growing evidence suggests that the intracorporeal fashioning of an anastomosis after a laparoscopic right colectomy may offer several advantages. However, due to the difficulty of the intracorporeal technique, laparoscopic extracorporeal ...

Short-term results after robot-assisted laparoscopic radical prostatectomy compared to open radical prostatectomy.

European urology
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy has become a widespread technique despite a lack of randomised trials showing its superiority over open radical prostatectomy.

A novel semi-automatic snake robot for natural orifice transluminal endoscopic surgery: preclinical tests in animal and human cadaver models (with video).

Surgical endoscopy
BACKGROUND AND STUDY AIMS: Natural orifice transluminal endoscopic surgery (NOTES) is an emerging surgical technique. We aimed to design, create, and evaluate a new semi-automatic snake robot for NOTES.

First use of a computer-assisted operator-controlled flexible endoscope for transoral surgery.

The Laryngoscope
Transoral robotic surgery (TORS) has become an accepted treatment option for head and neck cancer. However, anatomical limitations and a relevant financial burden require alternative developments in this field. To this end, a patient presenting with ...

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....

Learning curve for robotic-assisted surgery for rectal cancer: use of the cumulative sum method.

Surgical endoscopy
BACKGROUND: Few data are available to assess the learning curve for robotic-assisted surgery for rectal cancer. The aim of the present study was to evaluate the learning curve for robotic-assisted surgery for rectal cancer by a surgeon at a single in...