AIMC Topic: Case-Control Studies

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Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks.

Magnetic resonance imaging Aug 21, 2020
PURPOSE: To develop a fast and accurate convolutional neural network based method for segmentation of thalamic nuclei.
Female Young Adult Case-Control Studies Humans Neural Networks, Computer Image Processing, Computer-Assisted Essential Tremor Magnetic Resonance Imaging Thalamic Nuclei Multiple Sclerosis Automation
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Automated quantification of myocardial tissue characteristics from native T mapping using neural networks with uncertainty-based quality-control.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 20, 2020
BACKGROUND: Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancement. Nat...
Image Interpretation, Computer-Assisted Automation Cardiomyopathies Reproducibility of Results Uncertainty Ventricular Function, Left Stroke Volume Case-Control Studies Bayes Theorem Myocardium Quality Control Magnetic Resonance Imaging Humans Predictive Value of Tests Neural Networks, Computer
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Robot-assisted pelvic urologic surgeries: is it feasible to perform under reduced tilt?

Journal of robotic surgery Aug 17, 2020
To evaluate the feasibility and outcomes of performing robot-assisted pelvic surgery at a reduced angle of Trendelenburg position. This was a prospective case-control study of 67 patients in 2:1 ratio. Controls were operated with steep Trendelenburg ...
Laparoscopy Robotic Surgical Procedures Head-Down Tilt Prostatectomy Humans Male Case-Control Studies Robotics
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Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation.

PLoS medicine Aug 14, 2020
BACKGROUND: Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate...
Canada Prostatic Neoplasms Carcinoma, Intraductal, Noninfiltrating Nonlinear Optical Microscopy Male Middle Aged Case-Control Studies Cohort Studies Retrospective Studies Reproducibility of Results Aged Humans Machine Learning
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CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.

Scientific reports Aug 13, 2020
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited t...
Male Cardiovascular Diseases Middle Aged Spatio-Temporal Analysis Case-Control Studies Humans Prospective Studies Female Adult Magnetic Resonance Imaging, Cine Deep Learning Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Breath Holding
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Classification of cervical neoplasms on colposcopic photography using deep learning.

Scientific reports Aug 12, 2020
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence (AI) has been recently used in computer-aided diagnosis showing rem...
Colposcopy Diagnosis, Computer-Assisted Deep Learning Adolescent Uterine Cervical Dysplasia Retrospective Studies Female Aged Aged, 80 and over Humans Uterine Cervical Neoplasms Neural Networks, Computer Middle Aged Young Adult Artificial Intelligence Case-Control Studies Adult
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Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.

Journal of medical Internet research Aug 4, 2020
BACKGROUND: Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations impose significant health care needs and contribute to in-hospital mortality. However, most risk prediction models developed to date have focused on AKI in a spec...
Humans Machine Learning Acute Kidney Injury Electronic Health Records Middle Aged Risk Assessment Case-Control Studies Cohort Studies Community-Acquired Infections Female Hospitalization Aged Male
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.

PloS one Jul 23, 2020
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems...
Smartphone Male Humans Support Vector Machine Middle Aged Machine Learning Exercise Test Statistics as Topic Parkinson Disease Case-Control Studies Walking Female Signal Processing, Computer-Assisted Cohort Studies Aged
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Towards subject-level cerebral infarction classification of CT scans using convolutional networks.

PloS one Jul 15, 2020
Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical decision making. We describe a method to classify computed tomography scans on volume level for the presence of non-acute cerebral infarction. This is not a tri...
Humans Algorithms Aged Male Case-Control Studies Imaging, Three-Dimensional Image Processing, Computer-Assisted Cerebral Infarction Automation Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female
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Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Journal of forensic sciences Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Feasibility Studies Forensic Medicine Autopsy Craniocerebral Trauma Middle Aged Case-Control Studies Deep Learning Adolescent Aged, 80 and over Young Adult Adult Male Neural Networks, Computer Tomography, X-Ray Computed Brain Humans Female Aged
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