AIMC Topic: Multicenter Studies as Topic

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Role of artificial intelligence in MS clinical practice.

NeuroImage. Clinical May 28, 2022
Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findings in the medical field, especially when applied to imaging data. Given the substantial role of MRI in the diagnosis and ma...
Multiple Sclerosis Artificial Intelligence Machine Learning Algorithms Reproducibility of Results Humans Deep Learning Multicenter Studies as Topic
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Effectiveness and safety of blonanserin for improving social and cognitive functions in patients with first-episode schizophrenia: a study protocol for a prospective, multicentre, single-arm clinical trial.

BMJ open Apr 20, 2022
INTRODUCTION: Both the pharmacological characteristics of blonanserin and its related small sample size studies suggest that blonanserin could alleviate social and cognitive dysfunctions in patients with schizophrenia. However, no large sample size s...
Social Interaction Piperazines Humans Piperidines Cognition Prospective Studies Schizophrenia Treatment Outcome Antipsychotic Agents Multicenter Studies as Topic Schizophrenic Psychology
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Editorial Comment to Predicting factor analysis of postoperative complications after robot-assisted radical cystectomy: Multicenter KORARC database study.

International journal of urology : official journal of the Japanese Urological Association Feb 20, 2022
Postoperative Complications Treatment Outcome Urinary Bladder Neoplasms Robotic Surgical Procedures Humans Multicenter Studies as Topic Cystectomy Robotics Urinary Diversion Factor Analysis, Statistical
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 30, 2021
PURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the electron density of tissue necessary for dose calculation. Sever...
Tomography, X-Ray Computed Deep Learning Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Multicenter Studies as Topic Radiotherapy Dosage
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Active robotic technologies for total knee arthroplasty.

Archives of orthopaedic and trauma surgery Jul 14, 2021
INTRODUCTION: When active robotic technologies for Total Knee Arthroplasty (TKA) were introduced over 20 years ago, broad usage of robotic technology was not felt to be needed as early data suggested no clear improvement in clinical outcomes compared...
Humans Multicenter Studies as Topic Robotics Postoperative Period Robotic Surgical Procedures Knee Joint Arthroplasty, Replacement, Knee
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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 22, 2021
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI) field. Modern radiation oncology is based on the exploitation of advanced computational methods aiming to personalization and high diagnostic and therapeut...
Image Processing, Computer-Assisted Multicenter Studies as Topic Neural Networks, Computer Artificial Intelligence Machine Learning Deep Learning
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Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.

PloS one Feb 19, 2021
PURPOSE: This study evaluated the performance of a commercially available deep-learning algorithm (DLA) (Insight CXR, Lunit, Seoul, South Korea) for referable thoracic abnormalities on chest X-ray (CXR) using a consecutively collected multicenter hea...
Radiography, Thoracic Deep Learning ROC Curve Multicenter Studies as Topic Male Middle Aged Humans Algorithms Retrospective Studies Female Aged Adult
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The Potential and the Limitations of Esophageal Robotic Surgery in Children.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie Dec 30, 2020
INTRODUCTION:  There have been numerous reports of robotic pediatric surgery in the literature, particularly regarding urological procedures for school-aged children. Thoracic procedures appear to be less common, despite the fact that encouraging res...
Humans Retrospective Studies Esophagus Multicenter Studies as Topic Infant, Newborn Robotic Surgical Procedures Robotics Child Heller Myotomy
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Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2.

The British journal of ophthalmology Nov 23, 2020
AIM: To develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2).
Retinal Telangiectasis Clinical Trials, Phase II as Topic Tomography, Optical Coherence Retina Deep Learning Multicenter Studies as Topic Humans
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Predicting alcohol dependence from multi-site brain structural measures.

Human brain mapping Oct 16, 2020
To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored ...
Machine Learning Cerebral Cortex Reproducibility of Results Humans Magnetic Resonance Imaging Multicenter Studies as Topic Putamen Neuroimaging Alcoholism
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