AIMC Topic: Retrospective Studies

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Breaking the ice to improve motor outcomes in patients with chronic stroke: a retrospective clinical study on neuromodulation plus robotics.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
BACKGROUND: Stroke is one of the main causes of impairment affecting daily activities and quality of life. There is a growing effort to potentiate the recovery of functional gait and to enable stroke patients to walk independently.

Multimodal magnetic resonance imaging correlates of motor outcome after stroke using machine learning.

Neuroscience letters
This study applied machine learning regression to predict motor function after stroke based on multimodal magnetic resonance imaging. Fifty-four stroke patients, who underwent T1 weighted, diffusion tensor, and resting state functional magnetic reson...

Detailed Analysis of Urinary Tract Infections After Robot-Assisted Radical Cystectomy.

Journal of endourology
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and investigate the variables associated with it. A retrospective review of 616 patients who underwent RARC between 2005 and 2019 was performed. Patients wer...

Intravenous Line Phase-Wrap Artifact at Bilateral Axial 3-T Breast MRI: Identification, Analysis, and Solution.

Radiology. Imaging cancer
PURPOSE: To understand and remove the source of a phase-wrap artifact produced by residual contrast agent in the intravenous line during acquisition of bilateral axial 3-T dynamic contrast material-enhanced (DCE) breast MRI.

Robotic versus open oncological gastric surgery in the elderly: a propensity score-matched analysis.

Journal of robotic surgery
Although there is no agreement on a definition of elderly, commonly an age cutoff of ≥ 65 or 75 years is used. Even if robot-assisted surgery is a validated option for the elderly population, there are no specific indications for its application in t...

Pelvic Anatomical Features After Retzius-Sparing Robot-Assisted Radical Prostatectomy Intended for Early Recovery of Urinary Symptoms.

Journal of endourology
To elucidate factors contributing to early urinary continence recovery after retzius-sparing robot-assisted radical prostatectomy (RS-RARP) by evaluating postoperative pelvic anatomical features between RS-RARP and conventional RARP (CON-RARP). We ...

Long-term outcomes of minimally invasive surgeries in partial nephrectomy. Robot or laparoscopy?

International journal of clinical practice
BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robotic partial nephrectomy for small renal masses.

Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning.

Medical physics
PURPOSE: To develop and evaluate a volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) approach based on deep-Q reinforcement learning (RL) capable of finding an optimal machine control policy using previous prostate cancer p...

Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography.

Scientific reports
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT. For model development an...

A Model Using Support Vector Machines Recursive Feature Elimination (SVM-RFE) Algorithm to Classify Whether COPD Patients Have Been Continuously Managed According to GOLD Guidelines.

International journal of chronic obstructive pulmonary disease
PURPOSE: Patients with chronic obstructive pulmonary disease (COPD) would have a poor prognosis if they were not continuously managed according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. We aim to develop a model...