AIMC Topic: Aged, 80 and over
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Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score.
Human brain mapping
Sep 10, 2019
F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topographic metabolism patterns in the brain. These images have shown great promise in revealing the altered metabolism patterns in Alzheimer's disease (AD). ...
Universal artificial intelligence platform for collaborative management of cataracts.
The British journal of ophthalmology
Sep 2, 2019
PURPOSE: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficien...
PET image denoising using unsupervised deep learning.
European journal of nuclear medicine and molecular imaging
Aug 29, 2019
PURPOSE: Image quality of positron emission tomography (PET) is limited by various physical degradation factors. Our study aims to perform PET image denoising by utilizing prior information from the same patient. The proposed method is based on unsup...
A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.
BJU international
Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.
Journal of biomedical informatics
Aug 24, 2019
OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during continuous hemodialysis (HD) sessions, referred to as multiple-session patterns (MSPs), and explore whether deep learning models with MSPs have better pe...
Medical Informatics
Pattern Recognition, Automated
Systole
Adolescent
Blood Pressure Determination
Blood Pressure
Kidney Failure, Chronic
Nonlinear Dynamics
Male
Reproducibility of Results
Middle Aged
Deep Learning
Aged
Humans
Renal Dialysis
Aged, 80 and over
Neural Networks, Computer
Young Adult
Prognosis
Adult
Electronic Health Records
Female
Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms.
Journal of neurointerventional surgery
Aug 23, 2019
BACKGROUND: Angiographic parametric imaging (API) is an imaging method that uses digital subtraction angiography (DSA) to characterize contrast media dynamics throughout the vasculature. This requires manual placement of a region of interest over a l...
Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.
BMC cancer
Aug 23, 2019
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion...
The benefits of and barriers to using a social robot PARO in care settings: a scoping review.
BMC geriatrics
Aug 23, 2019
BACKGROUND: Given the complexity of providing dementia care in hospitals, integrating technology into practice is a high challenge and an important opportunity. Although there are a growing demand and interest in using social robots in a variety of c...
Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images.
American journal of ophthalmology
Aug 22, 2019
PURPOSE: To develop and test deep learning classifiers that detect gonioscopic angle closure and primary angle closure disease (PACD) based on fully automated analysis of anterior segment OCT (AS-OCT) images.
Fractal dimension of cerebral white matter: A consistent feature for prediction of the cognitive performance in patients with small vessel disease and mild cognitive impairment.
NeuroImage. Clinical
Aug 22, 2019
Patients with cerebral small vessel disease (SVD) frequently show decline in cognitive performance. However, neuroimaging in SVD patients discloses a wide range of brain lesions and alterations so that it is often difficult to understand which of the...
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