AIMC Topic: Aged, 80 and over
Clear Filters Showing 1521 to 1530 of 3474 articles
Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning.
PloS one
Feb 25, 2021
Falling in Parkinsonian syndromes (PS) is associated with postural instability and consists a common cause of disability among PS patients. Current posturographic practices record the body's center-of-pressure displacement (statokinesigram) while the...
Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
Korean journal of radiology
Feb 24, 2021
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management.
Development and Validation of Machine Learning-based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts.
Clinical cancer research : an official journal of the American Association for Cancer Research
Feb 24, 2021
PURPOSE: Nodule evaluation is challenging and critical to diagnose multiple pulmonary nodules (MPNs). We aimed to develop and validate a machine learning-based model to estimate the malignant probability of MPNs to guide decision-making.
A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study.
Journal of medical Internet research
Feb 24, 2021
BACKGROUND: Identifying cognitive impairment early enough could support timely intervention that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances for successful cognitive aging.
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 24, 2021
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the infection, identifying and separating the infected people is the most crucial step. The main diagnos...
A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting.
Journal of neuroengineering and rehabilitation
Feb 23, 2021
BACKGROUND: Neuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices, in addition to telerehabilitation, are increasingly being used to train the upper limbs after stroke, and their use at home allows us to extend inst...
Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.
Journal of medical Internet research
Feb 23, 2021
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians...
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
COVID-19
Physicians
Female
SARS-CoV-2
Aged
Logistic Models
Health Expenditures
Diagnosis
Patient Preference
Choice Behavior
Diagnostic Techniques and Procedures
China
Surveys and Questionnaires
Latent Class Analysis
Adolescent
Time Factors
Humans
Artificial Intelligence
Pandemics
Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
The British journal of radiology
Feb 22, 2021
OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR).
Humans
Deep Learning
Contrast Media
Radiographic Image Interpretation, Computer-Assisted
Quality Control
Radiation Dosage
Signal-To-Noise Ratio
Postoperative Period
Whole Body Imaging
Aged, 80 and over
Adult
Male
Middle Aged
Neoplasms
Algorithms
Prospective Studies
Tomography, X-Ray Computed
Female
Aged
Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.
International journal of medical sciences
Feb 22, 2021
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications a...
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.
NeuroImage
Feb 19, 2021
It is challenging to compare amyloid PET images obtained with different radiotracers. Here, we introduce a new approach to improve the interchangeability of amyloid PET acquired with different radiotracers through image-level translation. Deep genera...
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