AIMC Topic: Aged, 80 and over

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Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 3, 2021
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and envir...
Humans Machine Learning Decision Support Techniques Predictive Value of Tests Disability Evaluation Functional Status Patient Discharge Stroke Motor Activity Environment Stroke Rehabilitation Middle Aged Time Factors Databases, Factual Treatment Outcome Female Decision Trees Aged Recovery of Function Aged, 80 and over Male
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Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition.

Osteoarthritis and cartilage Feb 3, 2021
BACKGROUND: Articular cartilage degeneration is the hallmark change of osteoarthritis, a severely disabling disease with high prevalence and considerable socioeconomic and individual burden. Early, potentially reversible cartilage degeneration is cha...
Spectroscopy, Fourier Transform Infrared Osteoarthritis, Knee Cartilage, Articular Multiparametric Magnetic Resonance Imaging Aged Aged, 80 and over Adult Male Humans Middle Aged Machine Learning Female
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Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.

The Lancet. Digital health Feb 3, 2021
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with non-metastatic prostate cancer. Current models rely on prespecified variables, which limits their performance. We aimed to investigate a novel machine ...
Prognosis Retrospective Studies Aged Aged, 80 and over Adult Humans Machine Learning Algorithms Databases, Factual Prostatic Neoplasms Prostate Survival Analysis Male Middle Aged Risk Assessment Nomograms United States
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Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study.

Journal of medical Internet research Feb 3, 2021
BACKGROUND: Although commercially available analgesic indices based on biosignal processing have been used to quantify nociception during general anesthesia, their performance is low in conscious patients. Therefore, there is a need to develop a new ...
Humans Neural Networks, Computer Male Middle Aged Photoplethysmography Pain Measurement Female Pain, Postoperative Analgesia Aged Aged, 80 and over Young Adult Adult
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Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

JAMA network open Feb 1, 2021
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using...
Decision Making, Shared Aged Aged, 80 and over Male Middle Aged Risk Assessment Patient Education as Topic Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Patient Satisfaction Osteoarthritis, Knee Patient Health Questionnaire Humans Artificial Intelligence Decision Support Techniques Female
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A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease.

Scientific reports Jan 29, 2021
Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and progression detection have been intensively studied. Nevertheless, research studies often have little effect on clinical practice mainly due to the following reasons: (1)...
Neuroimaging Middle Aged Follow-Up Studies Magnetic Resonance Imaging Models, Neurological Humans Alzheimer Disease Brain Artificial Intelligence Female Databases, Factual Aged Aged, 80 and over Male
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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Cardiovascular diabetology Jan 29, 2021
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term ris...
Humans Prospective Studies Prognosis Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Middle Aged Risk Assessment Heart Diseases Adiposity Pericardium Predictive Value of Tests Prevalence Cardiometabolic Risk Factors Deep Learning Time Factors Metabolic Syndrome Adipose Tissue Radiographic Image Interpretation, Computer-Assisted Registries Non-alcoholic Fatty Liver Disease Los Angeles
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Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements.

PloS one Jan 29, 2021
OBJECTIVE: One of the greatest challenges in clinical trial design is dealing with the subjectivity and variability introduced by human raters when measuring clinical end-points. We hypothesized that robotic measures that capture the kinematics of hu...
Neurologic Examination Recovery of Function Humans Robotics Female Stroke Aged Movement Aged, 80 and over Stroke Rehabilitation Adult Male Middle Aged
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Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.

Ophthalmology. Retina Jan 28, 2021
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...
Angiogenesis Inhibitors Aged, 80 and over Humans Intravitreal Injections Follow-Up Studies Cross-Sectional Studies Prognosis Ranibizumab Visual Acuity Male Retrospective Studies Wet Macular Degeneration Tomography, Optical Coherence Middle Aged Female Vascular Endothelial Growth Factor A Deep Learning Aged
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Machine learning predictive model for severe COVID-19.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 28, 2021
To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji...
Tomography, X-Ray Computed Female SARS-CoV-2 Aged Aged, 80 and over Humans COVID-19 Machine Learning Algorithms Software Databases, Factual Biomarkers Young Adult Adolescent Prognosis Adult ROC Curve Male Models, Theoretical Middle Aged Severity of Illness Index
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