AIMC Topic: Aged, 80 and over

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Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.

Scientific reports Jan 10, 2022
Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on the presence or absence of biomarkers and cellular atypia. However it suffers drawbacks: it requires a strong expertise and is time-consuming. Moreover...
Algorithms Female Skin Neoplasms Aged Aged, 80 and over Adult Humans Skin Keratinocytes Histological Techniques Pathology Male Middle Aged Deep Learning Imaging, Three-Dimensional Tomography, Optical Coherence
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Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Computational and mathematical methods in medicine Jan 10, 2022
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increases pain. The study is aimed at establishing the prediction model of infection in patients with lung cancer during chemotherapy by an artificial neural...
Aged, 80 and over Male Middle Aged ROC Curve Lung Neoplasms Computational Biology Humans Neural Networks, Computer Algorithms Female Risk Factors Aged Logistic Models Antineoplastic Combined Chemotherapy Protocols Palliative Care Respiratory Tract Infections Cross Infection
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Artificial intelligence predicts clinically relevant atrial high-rate episodes in patients with cardiac implantable electronic devices.

Scientific reports Jan 7, 2022
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial high-rate episodes (AHREs), which can be recorded by a pacemaker. We aimed to develop ML-based models to predict clinically relevant AHREs based on the...
Pacemaker, Artificial Machine Learning Clinical Decision Rules Prospective Studies Republic of Korea Female Aged Aged, 80 and over Male Humans Artificial Intelligence Cohort Studies ROC Curve Models, Statistical Registries Atrial Fibrillation
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Contactless facial video recording with deep learning models for the detection of atrial fibrillation.

Scientific reports Jan 7, 2022
Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (...
Aged Aged, 80 and over Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans Time Factors Prospective Studies Image Processing, Computer-Assisted Regional Blood Flow Female Photoplethysmography Atrial Fibrillation Reproducibility of Results Electrocardiography Heart Rate Predictive Value of Tests Video Recording Skin Face Pulsatile Flow
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Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.

PloS one Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Adult Speech Perception Male Child Humans Middle Aged Female Auditory Threshold Computational Biology Infant Neural Networks, Computer Infant, Newborn Discrimination Learning Models, Statistical Adolescent Reproducibility of Results Audiometry, Pure-Tone Machine Learning Child, Preschool Speech Reception Threshold Test Aged Hearing Algorithms Aged, 80 and over Hearing Loss Republic of Korea Young Adult
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Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm.

PloS one Dec 31, 2021
OBJECTIVE: To explore the feasibility of using random forest (RF) machine learning algorithm in assessing normal and malignant peripheral pulmonary nodules based on in vivo endobronchial optical coherence tomography (EB-OCT).
Machine Learning Algorithms Tomography, X-Ray Computed Female Multiple Pulmonary Nodules Adult Aged Humans Aged, 80 and over Tomography, Optical Coherence Male Middle Aged ROC Curve Image Processing, Computer-Assisted Inflammation
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Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey.

Clinical and experimental dermatology Dec 23, 2021
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health profe...
Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Adolescent Health Surveys Age Factors Patient Acceptance of Health Care Attitude to Health Humans Artificial Intelligence Female Skin Neoplasms Aged
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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Scientific reports Dec 21, 2021
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without...
Humans Neural Networks, Computer Algorithms Prognosis Retrospective Studies Female Aged Breast Image Interpretation, Computer-Assisted Deep Learning Adolescent ROC Curve Follow-Up Studies Diagnosis, Differential Aged, 80 and over Ultrasonography, Mammary Young Adult Adult Breast Neoplasms Middle Aged Case-Control Studies
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Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation.

NeuroImage Dec 20, 2021
Abnormal tau inclusions are hallmarks of Alzheimer's disease and predictors of clinical decline. Several tau PET tracers are available for neurodegenerative disease research, opening avenues for molecular diagnosis in vivo. However, few have been app...
Photomicrography Equipment Design Alzheimer Disease Datasets as Topic Neuroimaging tau Proteins Humans Biomarkers Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Dec 20, 2021
Cardiovascular disease (CVD) is one of the most common causes of death that kills approximately 17 million people annually. The main reasons behind CVD are myocardial infarction and the failure of the heart to pump blood normally. Doctors could diagn...
Support Vector Machine Decision Trees Heart Failure Heart Disease Risk Factors Chi-Square Distribution Adult Male Middle Aged Diagnosis, Computer-Assisted Computational Biology Logistic Models Humans Databases, Factual Neural Networks, Computer Electronic Health Records Machine Learning Female Algorithms Aged Aged, 80 and over
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