AIMC Topic: Male

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Characterizing CDK12-Mutated Prostate Cancers.

Clinical cancer research : an official journal of the American Association for Cancer Research Sep 28, 2020
PURPOSE: Cyclin-dependent kinase 12 (CDK12) aberrations have been reported as a biomarker of response to immunotherapy for metastatic castration-resistant prostate cancer (mCRPC). Herein, we characterize CDK12-mutated mCRPC, presenting clinical, geno...
Prostatic Neoplasms Artificial Intelligence Prognosis Cyclin-Dependent Kinases Tumor Microenvironment Male Genomics Humans
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Activities of Daily Living Stroke Rehabilitation Mobility Limitation Clinical Decision Rules Inpatients Decision Trees Recovery of Function Predictive Value of Tests Male Middle Aged Risk Assessment Treatment Outcome Female Stroke Reproducibility of Results Risk Factors Humans Aged Machine Learning Aged, 80 and over Databases, Factual
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Bone age assessment based on deep convolution neural network incorporated with segmentation.

International journal of computer assisted radiology and surgery Sep 28, 2020
PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics, pediatrics, forensic science, etc. Most studies, however, do not take in...
Child Image Processing, Computer-Assisted Bone and Bones X-Rays Humans Neural Networks, Computer Female Young Adult Male Infant Adolescent Child, Preschool
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The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Sep 28, 2020
OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which affects the developmental trajectory in several behavioral domains, including impairments of social communication and stereotyped behavior. Unlike typicall...
Photic Stimulation Facial Recognition Reproducibility of Results Humans Recognition, Psychology Male Machine Learning Child, Preschool Autism Spectrum Disorder Child Female Racial Groups
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Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy.

Physics in medicine and biology Sep 28, 2020
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features for predicting acute-phase weight loss (WL) in lung cancer radiotherapy. Baseline weight of 388 patients who underwent intensity modulated radiation t...
Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Humans Weight Loss Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiotherapy, Intensity-Modulated Acute-Phase Reaction Aged Aged, 80 and over Adult Male Middle Aged
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THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Adult New Zealand Sensitivity and Specificity Retina Male Implementation Science Middle Aged Retrospective Studies Adolescent Humans Female Diabetic Retinopathy Child Aged Artificial Intelligence Image Processing, Computer-Assisted Aged, 80 and over Algorithms Diabetes Mellitus Young Adult Mass Screening Triage
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Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

The British journal of ophthalmology Sep 26, 2020
BACKGROUND/AIMS: Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angl...
Intraocular Pressure Male Middle Aged Deep Learning Follow-Up Studies Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy Humans Algorithms Prospective Studies Female Reproducibility of Results
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Digital Pattern Recognition for the Identification and Classification of Hypospadias Using Artificial Intelligence vs Experienced Pediatric Urologist.

Urology Sep 26, 2020
OBJECTIVE: To improve hypospadias classification system, we hereby, show the use of machine learning/image recognition to increase objectivity of hypospadias recognition and classification. Hypospadias anatomical variables such as meatal location, qu...
Humans Artificial Intelligence Machine Learning Databases, Factual Male Clinical Competence Urologists Hypospadias
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Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 25, 2020
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...
Adolescent Magnetic Resonance Imaging Diagnosis, Differential Predictive Value of Tests Image Interpretation, Computer-Assisted Humans Male Retrospective Studies Middle Aged Female Diagnosis, Computer-Assisted Moyamoya Disease Reproducibility of Results Deep Learning Intracranial Arteriosclerosis Young Adult Adult
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Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.

Magnetic resonance imaging Sep 25, 2020
INTRODUCTION: Survival varies in patients with glioblastoma due to intratumoral heterogeneity and radiomics/imaging biomarkers have potential to demonstrate heterogeneity. The objective was to combine radiomic, semantic and clinical features to impro...
Aged Adult Brain Neoplasms Male Middle Aged Humans Machine Learning Retrospective Studies Female DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins Semantics Promoter Regions, Genetic Image Processing, Computer-Assisted Magnetic Resonance Imaging DNA Methylation Glioblastoma Survival Analysis
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