AIMC Topic: Aged, 80 and over

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Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU.

BMC medical informatics and decision making Oct 2, 2020
BACKGROUND: Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine learning-based tools to predi...
Humans Machine Learning Critical Illness Male Middle Aged Sepsis Hospital Mortality Models, Theoretical Critical Care Intensive Care Units Female Aged Aged, 80 and over Adult
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A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.

Cancer medicine Sep 30, 2020
BACKGROUND: Preoperative diagnoses of metastatic lymph nodes (LNs) by the most advanced deep learning technology of Faster Region-based Convolutional Neural Network (Faster R-CNN) have not yet been reported.
Deep Learning Lymph Nodes Nomograms Lymphatic Metastasis Aged, 80 and over Predictive Value of Tests Humans Prognosis Magnetic Resonance Imaging Rectal Neoplasms Adult Decision Support Techniques Female Image Interpretation, Computer-Assisted Male Reproducibility of Results Middle Aged Risk Factors Risk Assessment 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...
Activities of Daily Living Stroke Rehabilitation Mobility Limitation Clinical Decision Rules Databases, Factual Female Inpatients Reproducibility of Results Humans Aged, 80 and over Decision Trees Risk Factors Machine Learning Male Recovery of Function Aged Middle Aged Predictive Value of Tests Risk Assessment Stroke Treatment Outcome
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[Assistive robots for nursing care : Available products and research fields].

Zeitschrift fur Gerontologie und Geriatrie Sep 28, 2020
In the media more and more can be read about "care robots" as a possible solution for the current lack of qualified care staff but often without differentiating this term any further. This often leads to the assumption that robots are already able to...
Humans Aged Aged, 80 and over Robotics Motivation Nursing Care
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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...
Radiotherapy, Intensity-Modulated Acute-Phase Reaction Male Humans Middle Aged Tomography, X-Ray Computed Machine Learning Weight Loss Female Algorithms Lung Neoplasms Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Adult
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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...
Humans Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Diabetic Retinopathy Artificial Intelligence Algorithms Retrospective Studies Female Implementation Science Diabetes Mellitus Male Mass Screening Middle Aged Triage Adolescent New Zealand Child Retina Image Processing, Computer-Assisted
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The effect of a social robot intervention on sleep and motor activity of people living with dementia and chronic pain: A pilot randomized controlled trial.

Maturitas Sep 24, 2020
OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in nursing home residents living with dementia and chronic pain.
Nursing Homes Motor Activity Chronic Pain Pilot Projects Humans Dementia Female Australia Aged Robotics Aged, 80 and over Sleep Male
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Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.

Radiology Sep 24, 2020
Background Radiologists are proficient in differentiating between chest radiographs with and without symptoms of pneumonia but have found it more challenging to differentiate coronavirus disease 2019 (COVID-19) pneumonia from non-COVID-19 pneumonia o...
Lung Adolescent Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Young Adult Adult Sensitivity and Specificity Male Middle Aged Humans Artificial Intelligence COVID-19 Retrospective Studies Female SARS-CoV-2 Aged Aged, 80 and over
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Learning patterns of the ageing brain in MRI using deep convolutional networks.

NeuroImage Sep 24, 2020
Both normal ageing and neurodegenerative diseases cause morphological changes to the brain. Age-related brain changes are subtle, nonlinear, and spatially and temporally heterogenous, both within a subject and across a population. Machine learning mo...
Middle Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Aged Neural Networks, Computer Aged, 80 and over Phenotype Adult Brain Male Female Aging
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2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.

Scientific reports Sep 24, 2020
For treatment individualisation of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated with primary radiochemotherapy, we explored the capabilities of different deep learning approaches for predicting loco-regional tu...
Tumor Burden Chemoradiotherapy Image Processing, Computer-Assisted Humans Squamous Cell Carcinoma of Head and Neck Aged, 80 and over Neural Networks, Computer Head and Neck Neoplasms Adult Tomography, X-Ray Computed Follow-Up Studies Survival Rate Female Prospective Studies Neoplasm Recurrence, Local Male Aged Prognosis Middle Aged Retrospective Studies
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