AIMC Topic: Middle Aged

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Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.

Journal of neuroengineering and rehabilitation Sep 29, 2020
BACKGROUND: Accurate prediction of motor recovery after stroke is critical for treatment decisions and planning. Machine learning has been proposed to be a promising technique for outcome prediction because of its high accuracy and ability to process...
Physical Therapy Modalities Stroke Rehabilitation Middle Aged Quality of Life ROC Curve Recovery of Function Stroke Humans Machine Learning Prognosis Female Aged Male
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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international Sep 29, 2020
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldwide. However, it is challenging to identify NTM lung diseases from pulmonary tuberculosis (PTB) due to considerable overlap in classic manifestations ...
Tuberculosis, Pulmonary Adult Mycobacterium Infections, Nontuberculous Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Male Machine Learning Bronchiectasis Middle Aged Tomography, X-Ray Computed Nontuberculous Mycobacteria Lung Female Aged
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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...
Humans Machine Learning Databases, Factual Female Reproducibility of Results Risk Factors Aged Inpatients Decision Trees Aged, 80 and over Recovery of Function Activities of Daily Living Male Predictive Value of Tests Stroke Rehabilitation Stroke Middle Aged Mobility Limitation Risk Assessment Clinical Decision Rules Treatment Outcome
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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...
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Middle Aged Female Weight Loss Aged Lung Neoplasms Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Adult Radiotherapy, Intensity-Modulated Male Acute-Phase Reaction
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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...
Implementation Science Diabetes Mellitus Mass Screening Triage New Zealand Retina Female Sensitivity and Specificity Humans Aged Male Diabetic Retinopathy Aged, 80 and over Artificial Intelligence Middle Aged Young Adult Algorithms Adult Retrospective Studies Adolescent Child Image Processing, Computer-Assisted
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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...
Glaucoma, Angle-Closure Gonioscopy Humans Algorithms Middle Aged Prospective Studies Deep Learning Female Follow-Up Studies Reproducibility of Results Tomography, Optical Coherence Intraocular Pressure Anterior Eye Segment Male
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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...
Predictive Value of Tests Image Interpretation, Computer-Assisted Moyamoya Disease Intracranial Arteriosclerosis Diagnosis, Computer-Assisted Deep Learning Humans Adolescent Retrospective Studies Reproducibility of Results Magnetic Resonance Imaging Female Diagnosis, Differential Young Adult Adult Male Middle Aged
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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...
DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins Semantics Promoter Regions, Genetic Female Aged Adult Brain Neoplasms Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging DNA Methylation Glioblastoma Survival Analysis Humans Machine Learning Retrospective Studies
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Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices.

Sensors (Basel, Switzerland) Sep 25, 2020
Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to ide...
Humans Female Aged Support Vector Machine Heart Rate Death, Sudden, Cardiac Male Ventricular Function, Left Stroke Volume Middle Aged Electrocardiography
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Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Gastroenterology Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Humans Machine Learning Retrospective Studies Female Risk Factors Colon Colonoscopy ROC Curve Lymph Nodes Follow-Up Studies Lymphatic Metastasis Aged Colorectal Neoplasms Male Middle Aged Risk Assessment Age Factors Lymph Node Excision Neoplasm Staging Japan Colectomy
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