AIMC Topic: Male

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A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jan 22, 2020
PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer's disease (AD) are geriatric diseases and common causes of dementia. Recently, many studies on the segmentation, disease detection, or classification of MRI using deep learning ha...
Alzheimer Disease Pattern Recognition, Automated Neuroimaging Hydrocephalus, Normal Pressure Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Diagnosis, Differential Artificial Intelligence Brain Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Humans Disease Progression Case-Control Studies Diagnosis, Computer-Assisted
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Automated body composition analysis of clinically acquired computed tomography scans using neural networks.

Clinical nutrition (Edinburgh, Scotland) Jan 22, 2020
BACKGROUND & AIMS: The quantity and quality of skeletal muscle and adipose tissue is an important prognostic factor for clinical outcomes across several illnesses. Clinically acquired computed tomography (CT) scans are commonly used for quantificatio...
Europe Aged Sarcopenia Body Composition Muscle, Skeletal Adult Humans Adipose Tissue Radiographic Image Interpretation, Computer-Assisted Male Neural Networks, Computer Predictive Value of Tests Middle Aged Lumbar Vertebrae Tomography, X-Ray Computed Deep Learning Adiposity Female Automation Reproducibility of Results North America
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Antioxidant and Anti-inflammatory Diagnostic Biomarkers in Multiple Sclerosis: A Machine Learning Study.

Molecular neurobiology Jan 22, 2020
An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TN...
Humans Neural Networks, Computer Tumor Necrosis Factor-alpha Biomarkers Female Adult Sensitivity and Specificity Male Middle Aged Oxidative Stress Antioxidants Multiple Sclerosis Adiponectin Advanced Oxidation Protein Products Nitrosative Stress Receptors, Tumor Necrosis Factor Nitric Oxide Inflammation Support Vector Machine Oxidation-Reduction Sulfhydryl Compounds
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Identifying epilepsy psychiatric comorbidities with machine learning.

Acta neurologica Scandinavica Jan 22, 2020
OBJECTIVE: People with epilepsy are at increased risk for mental health comorbidities. Machine-learning methods based on spoken language can detect suicidality in adults. This study's purpose was to use spoken words to create machine-learning classif...
Comorbidity Psychiatric Status Rating Scales Adolescent Child Epilepsy Humans Machine Learning Mental Disorders Language Female Young Adult Male
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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

The lancet. Gastroenterology & hepatology Jan 22, 2020
BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system...
Middle Aged Observer Variation Colonoscopy Early Diagnosis Incidence Humans Case-Control Studies Clinical Alarms Mass Screening Diagnosis, Computer-Assisted Female Adenoma Deep Learning Double-Blind Method Adult China Colonic Polyps Colorectal Neoplasms Male
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Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.

AJR. American journal of roentgenology Jan 22, 2020
The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT. Our prospective mult...
Radiography, Thoracic Radiography, Abdominal Prospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Humans Imaging, Three-Dimensional Contrast Media Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice.

BMJ sexual & reproductive health Jan 21, 2020
OBJECTIVES: Sexual and reproductive health (SRH) services are undergoing a digital transformation. This study explored the acceptability of three digital services, (i) video consultations via Skype, (ii) live webchats with a health advisor and (iii) ...
Humans Artificial Intelligence Patient Acceptance of Health Care Middle Aged Sexual Health Surveys and Questionnaires Female Hotlines Adolescent Aged Reproductive Health Services Logistic Models Adult Internet Cross-Sectional Studies United Kingdom Male
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Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas.

Journal of the European Academy of Dermatology and Venereology : JEADV Jan 21, 2020
BACKGROUND: Deep learning convolutional neural networks (CNN) may assist physicians in the diagnosis of melanoma. The capacity of a CNN to differentiate melanomas from combined naevi, the latter representing well-known melanoma simulators, has not be...
Humans Female Melanoma Skin Neoplasms Dermoscopy Aged Diagnosis, Computer-Assisted Deep Learning Clinical Competence Dermatologists Melanocytes Nevus, Pigmented Young Adult Adult Sensitivity and Specificity Male Middle Aged
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The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas.

Clinical radiology Jan 21, 2020
AIM: To explore the value of quantitative texture analysis of conventional magnetic resonance imaging (MRI) sequences using artificial neural networks (ANN) for the differentiation of high-grade gliomas (HGG) and low-grade gliomas (LGG).
Humans Middle Aged Neural Networks, Computer Reproducibility of Results Glioma Female Aged Contrast Media Adult Magnetic Resonance Imaging Brain Neoplasms Neoplasm Grading Male Image Interpretation, Computer-Assisted
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Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.

European radiology Jan 21, 2020
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading.
Algorithms Biomarkers Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Machine Learning Area Under Curve Hepatitis B, Chronic Data Accuracy Elasticity Imaging Techniques Male Middle Aged ROC Curve Liver Cirrhosis Liver
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