AIMC Topic: Aged, 80 and over

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Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study.

Scientific reports Aug 6, 2021
Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for better approaches to prevent as many cases as possible and move from a one-size-fits-all approach to a precision cardiometabolic prevention strategy ...
Aged, 80 and over Adult Cross-Sectional Studies Male Cardiovascular Diseases Middle Aged Humans Machine Learning Female Risk Factors Aged Overweight Body Mass Index Obesity Supervised Machine Learning Metabolic Diseases Luxembourg
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Humans Prognosis Clinical Decision-Making Female Aged Aged, 80 and over Workflow Combined Modality Therapy Positron-Emission Tomography ROC Curve Disease Management Image Processing, Computer-Assisted Oropharyngeal Neoplasms Fluorodeoxyglucose F18 Adult Treatment Outcome Biomarkers, Tumor Kaplan-Meier Estimate Squamous Cell Carcinoma of Head and Neck Male Positron Emission Tomography Computed Tomography Middle Aged Neoplasm Staging Deep Learning
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Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.

BMC urology Aug 5, 2021
BACKGROUND: Recent increased use of medical images induces further burden of their interpretation for physicians. A plain X-ray is a low-cost examination that has low-dose radiation exposure and high availability, although diagnosing urolithiasis usi...
Deep Learning Adolescent Radiography Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Urinary Calculi Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Humans Neural Networks, Computer Female Aged Aged, 80 and over
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Comparison of Acute and Chronic Surgical Complications Following Robot-Assisted, Laparoscopic, and Traditional Open Radical Prostatectomy Among Men in Taiwan.

JAMA network open Aug 2, 2021
IMPORTANCE: Few studies have evaluated long-term surgical complications in patients with prostate cancer (PC) who receive open radical prostatectomy (ORP), laparoscopic radical prostatectomy (LRP), or robot-assisted radical prostatectomy (RARP).
Adult Male Middle Aged Postoperative Complications Cohort Studies Treatment Outcome Taiwan Robotics Prostatic Neoplasms Laparoscopy Prostatectomy Humans Aged Aged, 80 and over Young Adult
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A deep-learning method using computed tomography scout images for estimating patient body weight.

Scientific reports Aug 2, 2021
Body weight is an indispensable parameter for determination of contrast medium dose, appropriate drug dosing, or management of radiation dose. However, we cannot always determine the accurate patient body weight at the time of computed tomography (CT...
Male Middle Aged Deep Learning Contrast Media Humans Body Weight Tomography, X-Ray Computed Radiography, Abdominal Female Aged Aged, 80 and over Adult
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Documentation of Shared Decisionmaking in the Emergency Department.

Annals of emergency medicine Jul 31, 2021
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constr...
Adult Communication Male Middle Aged Infant Surveys and Questionnaires Decision Making, Shared Humans Adolescent Retrospective Studies Child, Preschool Electronic Health Records Female Child Infant, Newborn Natural Language Processing Aged Physician-Patient Relations Aged, 80 and over Emergency Medicine Young Adult
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Machine-Learning-Derived Model for the Stratification of Cardiovascular risk in Patients with Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 31, 2021
UNLABELLED: Background Stratification of cardiovascular risk in patients with ischemic stroke is important as it may inform management strategies. We aimed to develop a machine-learning-derived prognostic model for the prediction of cardiovascular ri...
Cardiovascular Diseases Clinical Decision-Making Humans Ischemic Stroke Machine Learning Female Registries Middle Aged Decision Support Techniques Reproducibility of Results Risk Assessment Heart Disease Risk Factors Prognosis Time Factors Aged Retrospective Studies Predictive Value of Tests Aged, 80 and over Male
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Models, Biological Humans Self Report Artificial Intelligence Adult Female Sensitivity and Specificity Chest Pain Pandemics SARS-CoV-2 Male Dyspnea Early Diagnosis COVID-19 Aged Middle Aged United Kingdom Prospective Studies Aged, 80 and over Epidemiologic Studies Adolescent Mobile Applications Young Adult Anosmia
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A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

IEEE journal of biomedical and health informatics Jul 27, 2021
OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused considerable morbidity and mortality, especially in patients with underlying health conditions. A precise prognostic tool to identify poor outcomes among such cases is desperately needed.
Humans Imaging, Three-Dimensional COVID-19 Radiographic Image Interpretation, Computer-Assisted Prognosis Middle Aged Retrospective Studies Lung Comorbidity Deep Learning Tomography, X-Ray Computed ROC Curve Female SARS-CoV-2 Aged Aged, 80 and over Male
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Humans Decision Support Techniques Databases, Factual Supervised Machine Learning Stroke Rehabilitation Prognosis Middle Aged Support Vector Machine Female Decision Trees Aged Discriminant Analysis Aged, 80 and over Patient Discharge Male Stroke
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