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Knowledge Graph-Enabled Cancer Data Analytics.

IEEE journal of biomedical and health informatics May 4, 2020
Cancer registries collect unstructured and structured cancer data for surveillance purposes which provide important insights regarding cancer characteristics, treatments, and outcomes. Cancer registry data typically (1) categorize each reportable can...
Aged, 80 and over Humans Incidence Adult Algorithms Registries Male Databases, Factual Knowledge Bases Middle Aged Female Neoplasms Aged
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Robotic Approach to Outpatient Inguinal Hernia Repair.

Journal of the American College of Surgeons May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
Humans Retrospective Studies Aged Young Adult Outpatients Adult Herniorrhaphy Middle Aged Hernia, Inguinal Adolescent Robotics Ambulatory Surgical Procedures
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Uterine Neoplasms Image Interpretation, Computer-Assisted Observer Variation Philadelphia Leiomyoma Uterine Artery Embolization Diagnosis, Computer-Assisted Deep Learning Humans Female Treatment Outcome Retrospective Studies Magnetic Resonance Imaging Clinical Decision-Making Reproducibility of Results Predictive Value of Tests Aged Adult Middle Aged
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Iatrogenic Disease Pneumothorax Uterine Artery Embolization Humans Machine Learning Databases, Factual Retrospective Studies Female Adolescent Time Factors Adult Child, Preschool Child Male Hospital Mortality Infant, Newborn Middle Aged United States Risk Factors Risk Assessment Inpatients Aged Data Mining Infant Aged, 80 and over Radiography, Interventional Length of Stay Young Adult Image-Guided Biopsy Portasystemic Shunt, Transjugular Intrahepatic
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A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

Scientific reports May 4, 2020
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...
Middle Aged Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Decision Trees Predictive Value of Tests Uterine Neoplasms Magnetic Resonance Spectroscopy Leiomyoma Premenopause Myometrium Algorithms Female Reproducibility of Results Adult Sensitivity and Specificity Humans Machine Learning
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Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Scientific reports May 4, 2020
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-learning algorithms for proper prognosis prediction. A total of 1,730 peritoneal dialysis patients in the CRC for ESRD prospective cohort from 2008 to 20...
Risk Factors Aged Adult Male Middle Aged Predictive Value of Tests Humans Machine Learning Prospective Studies Republic of Korea Female Models, Biological Mortality Peritoneal Dialysis
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A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Expert review of molecular diagnostics May 3, 2020
BACKGROUND: A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. T...
Neural Networks, Computer Glaucoma Algorithms Female Aged Adult Humans Clinical Trials, Phase II as Topic Tomography, Optical Coherence Observer Variation Male Retinal Ganglion Cells Middle Aged Automation Disease Progression Annexin A5 Image Processing, Computer-Assisted Apoptosis
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An Open-Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy.

The Laryngoscope May 1, 2020
OBJECTIVES: Contemporary clinical assessment of vocal fold adduction and abduction is qualitative and subjective. Herein is described a novel computer vision tool for automated quantitative tracking of vocal fold motion from videolaryngoscopy. The po...
Humans Vocal Cords Software Laryngoscopy Computers Middle Aged Female Case-Control Studies Aged Deep Learning Aged, 80 and over Video Recording Adult Vocal Cord Paralysis Male
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Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.

Acta neurochirurgica May 1, 2020
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and requires balancing of risk factors and scores. Machine learning (ML) algorithms have previously been effective at generating highly accurate and comprehe...
Treatment Outcome Microsurgery Neurosurgical Procedures Intracranial Aneurysm Machine Learning Algorithms Prognosis Retrospective Studies Humans Female Risk Factors Adult Male Middle Aged Pilot Projects Cohort Studies
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Working memory load-dependent changes in cortical network connectivity estimated by machine learning.

NeuroImage May 1, 2020
Working memory engages multiple distributed brain networks to support goal-directed behavior and higher order cognition. Dysfunction in working memory has been associated with cognitive impairment in neuropsychiatric disorders. It is important to cha...
Brain Female Young Adult Adult Male Image Processing, Computer-Assisted Humans Machine Learning Psychomotor Performance Cerebral Cortex Neural Pathways Nerve Net Support Vector Machine Magnetic Resonance Imaging Brain Mapping Memory, Short-Term Reaction Time
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