AIMC Topic: Retrospective Studies

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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Journal of digital imaging Apr 1, 2019
To develop a convolutional neural network (CNN) algorithm that can predict the molecular subtype of a breast cancer based on MRI features. An IRB-approved study was performed in 216 patients with available pre-treatment MRIs and immunohistochemical s...
Sensitivity and Specificity Breast Neoplasms Magnetic Resonance Imaging Predictive Value of Tests Neural Networks, Computer Algorithms Retrospective Studies Female Image Interpretation, Computer-Assisted Humans
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Intracerebral EEG Artifact Identification Using Convolutional Neural Networks.

Neuroinformatics Apr 1, 2019
Manual and semi-automatic identification of artifacts and unwanted physiological signals in large intracerebral electroencephalographic (iEEG) recordings is time consuming and inaccurate. To date, unsupervised methods to accurately detect iEEG artifa...
Brain Retrospective Studies Electroencephalography Artifacts Humans Neural Networks, Computer Machine Learning
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MR-based treatment planning in radiation therapy using a deep learning approach.

Journal of applied clinical medical physics Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Adult Female Humans Brain Neoplasms Aged Male Aged, 80 and over Retrospective Studies Middle Aged Young Adult Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Stroke
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Deep convolutional neural network models for the diagnosis of thyroid cancer - Authors' reply.

The Lancet. Oncology Mar 1, 2019
Humans Neural Networks, Computer Retrospective Studies Ultrasonography Thyroid Neoplasms
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Deep convolutional neural network models for the diagnosis of thyroid cancer.

The Lancet. Oncology Mar 1, 2019
Thyroid Neoplasms Ultrasonography Humans Neural Networks, Computer Retrospective Studies
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Deep convolutional neural network models for the diagnosis of thyroid cancer.

The Lancet. Oncology Mar 1, 2019
Retrospective Studies Thyroid Neoplasms Ultrasonography Humans Neural Networks, Computer
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Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

Diabetes technology & therapeutics Mar 1, 2019
OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).
Infant, Newborn Risk Factors Male Risk Assessment Cerebral Hemorrhage Blood Glucose Self-Monitoring Infant, Premature Gestational Age Humans Artificial Intelligence Retrospective Studies Female
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Diagnostic Techniques, Ophthalmological Macula Lutea Ranibizumab Photography Image Interpretation, Computer-Assisted False Positive Reactions Intravitreal Injections Deep Learning Angiogenesis Inhibitors Randomized Controlled Trials as Topic Predictive Value of Tests Tomography, Optical Coherence Fundus Oculi Macular Edema Female Humans Sensitivity and Specificity Vascular Endothelial Growth Factor A Diabetic Retinopathy Male Neural Networks, Computer Middle Aged Retrospective Studies
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Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Journal of vascular and interventional radiology : JVIR Mar 1, 2019
PURPOSE: To construct the albumin-bilirubin (ALBI) grade and the Child-Turcotte-Pugh (CTP) score based on nomograms, as well as to develop an artificial neural network (ANN) to compare the prognostic performance of the 2 scores for hepatocellular car...
Liver Neoplasms Carcinoma, Hepatocellular Nomograms Treatment Outcome Middle Aged China Time Factors Neoplasm Grading Bilirubin Chemoembolization, Therapeutic Serum Albumin, Human Humans Neural Networks, Computer Decision Support Techniques Retrospective Studies Female Reproducibility of Results Biomarkers, Tumor Male
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Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

Journal of glaucoma Mar 1, 2019
UNLABELLED: PRéCIS:: The novel proposed algorithm using deep learning classifier and polar transformation technique can be an economical as well as an effective tool for early detection of glaucomatous RNFL defect.
Humans Retrospective Studies Female Adult Image Interpretation, Computer-Assisted Intraocular Pressure Deep Learning Nerve Fibers Male ROC Curve Retinal Ganglion Cells Diagnostic Techniques, Ophthalmological Middle Aged Area Under Curve Ophthalmologic Surgical Procedures Photography Tomography, Optical Coherence Glaucoma, Open-Angle
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