AIMC Topic: Disease Progression

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Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Scientific reports Feb 2, 2022
Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progr...
Leukemia, Lymphocytic, Chronic, B-Cell Male Middle Aged Risk Assessment Female Risk Factors Aged Health Status Predictive Value of Tests Bayes Theorem Health Status Indicators Disease Progression Decision Support Techniques Time Factors Clinical Decision-Making Humans Treatment Outcome Artificial Intelligence
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A Deep Learning Approach to Predicting Disease Progression in Multiple Sclerosis Using Magnetic Resonance Imaging.

Investigative radiology Jan 31, 2022
OBJECTIVES: Magnetic resonance imaging (MRI) is an important tool for diagnosis and monitoring of disease course in multiple sclerosis (MS). However, its prognostic value for predicting disease worsening is still being debated. The aim of this study ...
Humans Artificial Intelligence Disease Progression Deep Learning Magnetic Resonance Imaging Multiple Sclerosis
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Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans.

International journal of environmental research and public health Jan 2, 2022
The highly rapid spread of the current pandemic has quickly overwhelmed hospitals all over the world and motivated extensive research to address a wide range of emerging problems. The unforeseen influx of COVID-19 patients to hospitals has made it in...
Aged Disease Progression Deep Learning Neural Networks, Computer Humans COVID-19 SARS-CoV-2
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Alteration of the corpus callosum in patients with Alzheimer's disease: Deep learning-based assessment.

PloS one Dec 23, 2021
BACKGROUND: Several studies have reported changes in the corpus callosum (CC) in Alzheimer's disease. However, the involved region differed according to the study population and study group. Using deep learning technology, we ensured accurate analysi...
Male Young Adult Alzheimer Disease Cognitive Dysfunction Middle Aged Atrophy Adult Deep Learning Child Risk Assessment Cross-Sectional Studies Humans Corpus Callosum Magnetic Resonance Imaging Adolescent Disease Progression Female Case-Control Studies Aged
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Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

JAMA network open Dec 1, 2021
IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.
Disease Progression Cognitive Dysfunction Dementia Incidence Sensitivity and Specificity Male Risk Assessment United States Predictive Value of Tests Area Under Curve Humans Machine Learning Prospective Studies Risk Factors Aged Prognosis Female
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ResGANet: Residual group attention network for medical image classification and segmentation.

Medical image analysis Nov 26, 2021
In recent years, deep learning technology has shown superior performance in different fields of medical image analysis. Some deep learning architectures have been proposed and used for computational pathology classification, segmentation, and detecti...
Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted
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Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.

Nature communications Nov 18, 2021
Metastatic cancer is associated with poor patient prognosis but its spatiotemporal behavior remains unpredictable at early stage. Here we develop MetaNet, a computational framework that integrates clinical and sequencing data from 32,176 primary and ...
Humans Risk Factors Biomarkers, Tumor Machine Learning Prognosis Kaplan-Meier Estimate Organ Specificity High-Throughput Nucleotide Sequencing Computational Biology Neoplasms Neoplasm Metastasis Mutation Disease Progression Genomics
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Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association Nov 10, 2021
We aimed to evaluate the value of ATN biomarker classification system (amyloid beta [A], pathologic tau [T], and neurodegeneration [N]) for predicting conversion from mild cognitive impairment (MCI) to dementia. In a sample of people with MCI (n = 41...
Data Collection tau Proteins Cognitive Dysfunction Amyloid beta-Peptides Alzheimer Disease Humans Machine Learning Aged Biomarkers Male Female Disease Progression
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Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks.

BMC bioinformatics Nov 8, 2021
BACKGROUND: The prevalence of chronic disease is growing in aging societies, and artificial-intelligence-assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (ResNet) mo...
Disease Progression Macular Degeneration Signal-To-Noise Ratio Humans Neural Networks, Computer Artificial Intelligence
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A multiscale double-branch residual attention network for anatomical-functional medical image fusion.

Computers in biology and medicine Nov 3, 2021
Medical image fusion technology synthesizes complementary information from multimodal medical images. This technology is playing an increasingly important role in clinical applications. In this paper, we propose a new convolutional neural network, wh...
Humans Disease Progression Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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