AIMC Topic: Aged, 80 and over

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Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

International journal of molecular sciences Aug 26, 2021
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations is crucial for selecting a therapeutic strategy for patients with non-small-cell lung cancer (NSCLC). We proposed a machin...
Mutation Humans Supervised Machine Learning Machine Learning Male ErbB Receptors Algorithms Proto-Oncogene Proteins p21(ras) Middle Aged Biomarkers ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Staging Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over
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DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.

NeuroImage Aug 24, 2021
Measures of change in hippocampal volume derived from longitudinal MRI are a well-studied biomarker of disease progression in Alzheimer's disease (AD) and are used in clinical trials to track therapeutic efficacy of disease-modifying treatments. Howe...
Humans Neural Networks, Computer Algorithms Hippocampus Neuroimaging Atrophy Disease Progression Cognitive Dysfunction Biomarkers Longitudinal Studies Female Magnetic Resonance Imaging Aged Alzheimer Disease Aged, 80 and over Male
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A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System.

Scientific reports Aug 19, 2021
While a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as...
Factor Analysis, Statistical Databases as Topic Executive Function Male Middle Aged Psychometrics Adolescent Principal Component Analysis Humans Machine Learning Algorithms Female Aged Aged, 80 and over Young Adult Adult
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Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning.

Scientific reports Aug 19, 2021
We examined the feasibility of explainable computer-aided detection of cardiomegaly in routine clinical practice using segmentation-based methods. Overall, 793 retrospectively acquired posterior-anterior (PA) chest X-ray images (CXRs) of 793 patients...
Cardiomegaly Thorax Child ROC Curve Image Processing, Computer-Assisted Area Under Curve Feasibility Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Neural Networks, Computer
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Sexing white 2D footprints using convolutional neural networks.

PloS one Aug 18, 2021
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such impressions and attempts have been made to do so using single or multi...
Middle Aged Pilot Projects Aged Humans Adolescent Walking Imaging, Three-Dimensional Neural Networks, Computer Sex Factors Aged, 80 and over Image Processing, Computer-Assisted Machine Learning Foot Young Adult Algorithms Adult Female Male
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Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older.

Gerontology Aug 17, 2021
BACKGROUND: The World Health Organization has recently updated exercise guidelines for people aged >65 years, emphasizing the inclusion of multiple fitness components. However, without adequate recognition of individual differences, these guidelines ...
Exercise Therapy Aged Humans Aged, 80 and over Male Artificial Intelligence Exercise Female Pilot Projects
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Robotic Transrectal Computed Tomographic Ultrasound with Artificial Neural Network Analysis: First Validation and Comparison with MRI-Guided Biopsies and Radical Prostatectomy.

Urologia internationalis Aug 17, 2021
INTRODUCTION: There is still a lack of availability of high-quality multiparametric magnetic resonance imaging (mpMRI) interpreted by experienced uro-radiologists to rule out clinically significant PC (csPC). Consequently, we developed a new imaging ...
Humans Neural Networks, Computer Retrospective Studies Aged, 80 and over Robotic Surgical Procedures Tomography, X-Ray Computed Male Rectum Aged Middle Aged Surgery, Computer-Assisted Prostatic Neoplasms Image-Guided Biopsy Ultrasonography, Interventional Prostatectomy Magnetic Resonance Imaging, Interventional
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Random walks on B distributed resting-state functional connectivity to identify Alzheimer's disease and Mild Cognitive Impairment.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Aug 16, 2021
OBJECTIVE: Resting-state functional connectivity reveals a promising way for the early detection of dementia. This study proposes a novel method to accurately classify Healthy Controls, Early Mild Cognitive Impairment, Late Mild Cognitive Impairment,...
Aged, 80 and over Male Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Rest Nerve Net Algorithms Databases, Factual Brain Female Aged Humans
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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.

Scientific reports Aug 16, 2021
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires ...
Male Middle Aged Deep Learning ROC Curve Sex Factors Lung Neoplasms Staining and Labeling Humans Datasets as Topic Carcinoma, Non-Small-Cell Lung Smoking Female Age Factors Adenocarcinoma of Lung Aged Area Under Curve Eosine Yellowish-(YS) Aged, 80 and over Mutation Hematoxylin Adult Coloring Agents
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Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Humans Retrospective Studies Tomography, X-Ray Computed Adult Sensitivity and Specificity Male Middle Aged Lung Deep Learning Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adolescent Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Hospitals, Teaching
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