AIMC Topic: Sensitivity and Specificity

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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Retinal Diseases Female Aged Cross-Sectional Studies Humans Aged, 80 and over ROC Curve Neural Networks, Computer Area Under Curve Adult Male Machine Learning Fundus Oculi Sensitivity and Specificity Middle Aged Image Interpretation, Computer-Assisted Deep Learning Datasets as Topic Algorithms
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Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Clinical and translational science May 31, 2019
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control...
Sensitivity and Specificity Male Middle Aged Incidence ROC Curve Machine Learning Biomarkers Female Risk Factors Diabetes Mellitus, Type 2 Diabetic Nephropathies Models, Theoretical Data Mining Humans
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Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.

Human brain mapping May 30, 2019
Schizophrenia (SCZ) patients and their unaffected first-degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be...
Cerebral Cortex Family Connectome Nerve Net Cognitive Dysfunction Magnetic Resonance Imaging Humans Schizophrenia Machine Learning Cerebellum Biomarkers Young Adult Pattern Recognition, Automated Female Adult Sensitivity and Specificity Male
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Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal.

Journal of affective disorders May 28, 2019
BACKGROUND: Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation (rTMS) treatment is an important purpose that eliminates financial and psychological consequences of applying inefficient therapy. To achieve this goal we p...
Prognosis Female Adult Sensitivity and Specificity Male Transcranial Magnetic Stimulation Humans Middle Aged Machine Learning Depressive Disorder, Major Algorithms Treatment Outcome Electroencephalography
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Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [F]-fluorodeoxyglucose positron emission tomography/computed tomography.

European radiology May 27, 2019
BACKGROUND: We designed a deep learning model for assessing F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.
Chemoradiotherapy Recurrence Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Radiopharmaceuticals Aged Fluorodeoxyglucose F18 Middle Aged Aged, 80 and over Humans Prognosis Deep Learning Adult Retrospective Studies Sensitivity and Specificity Cohort Studies Female Uterine Cervical Neoplasms Treatment Outcome Cervix Uteri
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Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine.

Photodiagnosis and photodynamic therapy May 25, 2019
In this report, we collected the Raman spectrum of cervical adenocarcinoma and cervical squamous cell carcinoma tissues by a micro-Raman spectroscopy system. We analysed, compared and summarized the characteristics and differences of the normalized m...
Humans Female Carcinoma, Squamous Cell Sensitivity and Specificity Uterine Cervical Neoplasms Principal Component Analysis Spectrum Analysis, Raman Adenocarcinoma Support Vector Machine Diagnosis, Differential
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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Ultrasound in medicine & biology May 25, 2019
The question of whether ultrasound point shear wave elastography can differentiate renal cell carcinoma (RCC) from angiomyolipoma (AML) is controversial. This study prospectively enrolled 51 patients with 52 renal tumors (42 RCCs, 10 AMLs). We obtain...
Kidney Neoplasms Carcinoma, Renal Cell Elasticity Imaging Techniques Angiomyolipoma Adolescent Kidney Diagnosis, Differential Image Interpretation, Computer-Assisted Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Humans Machine Learning Prospective Studies
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PSACNN: Pulse sequence adaptive fast whole brain segmentation.

NeuroImage May 24, 2019
With the advent of convolutional neural networks (CNN), supervised learning methods are increasingly being used for whole brain segmentation. However, a large, manually annotated training dataset of labeled brain images required to train such supervi...
Humans Neuroimaging Neural Networks, Computer Brain Sensitivity and Specificity Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Preliminary study on the application of deep learning system to diagnosis of Sjögren's syndrome on CT images.

Dento maxillo facial radiology May 22, 2019
OBJECTIVES: This study estimated the diagnostic performance of a deep learning system for detection of Sjögren's syndrome (SjS) on CT, and compared it with the performance of radiologists.
Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Humans Parotid Gland Sjogren's Syndrome
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Humans Artificial Intelligence Retrospective Studies Female Adolescent Adult Reproducibility of Results Diagnostic Imaging Thyroid Gland Sensitivity and Specificity Aged Image Interpretation, Computer-Assisted Thyroid Nodule Male Aged, 80 and over Radiology Information Systems United States Middle Aged Young Adult Societies, Medical Risk Assessment
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