AIMC Topic: Disease Progression

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Characterizing the Clinical Features and Atrophy Patterns of -Related Frontotemporal Dementia With Disease Progression Modeling.

Neurology Jun 22, 2021
BACKGROUND AND OBJECTIVE: Mutations in the gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of mutations have grouped all different mutations together and shown an association with focal at...
Middle Aged Disease Progression Magnetic Resonance Imaging Mutation Frontotemporal Dementia Image Interpretation, Computer-Assisted Neuroimaging tau Proteins Atrophy Brain Female Aged Adult Male Humans Machine Learning
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Progress, challenges and global approaches to rare diseases.

Acta paediatrica (Oslo, Norway : 1992) Jun 19, 2021
Rare diseases occur globally at every stage of life. Patients, families and caregivers have many unmet medical and social needs leading to extraordinary psychosocial and economic burdens. Efforts to improve diagnostic capabilities and to develop ther...
United States Caregivers Rare Diseases Humans Artificial Intelligence Disease Progression
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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Nature biomedical engineering Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Disease Progression Deep Learning Blood Glucose ROC Curve Diabetes Mellitus, Type 2 Neural Networks, Computer Prospective Studies Female Male Middle Aged Body Weight Retina Body Height Image Interpretation, Computer-Assisted Metadata Renal Insufficiency, Chronic Glomerular Filtration Rate Body Mass Index Area Under Curve Fundus Oculi Humans Photography
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A Pilot Study on Automatic Three-Dimensional Quantification of Barrett's Esophagus for Risk Stratification and Therapy Monitoring.

Gastroenterology Jun 8, 2021
BACKGROUND & AIMS: Barrett's epithelium measurement using widely accepted Prague C&M classification is highly operator dependent. We propose a novel methodology for measuring this risk score automatically. The method also enables quantification of th...
Esophagoscopy Esophageal Mucosa Severity of Illness Index Deep Learning Pilot Projects Imaging, Three-Dimensional Treatment Outcome Predictive Value of Tests Image Interpretation, Computer-Assisted Risk Factors Humans Barrett Esophagus Aged Female Automation Male Reproducibility of Results Esophagogastric Junction Risk Assessment Disease Progression
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Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non-muscle-invasive Bladder Cancer.

European urology oncology Jun 3, 2021
Despite being standard tools for decision-making, the European Organisation for Research and Treatment of Cancer (EORTC), European Association of Urology (EAU), and Club Urologico Espanol de Tratamiento Oncologico (CUETO) risk groups provide moderate...
Humans Artificial Intelligence Disease Progression Prognosis Deep Learning Retrospective Studies Urinary Bladder Neoplasms Female Neoplasm Invasiveness Male Neoplasm Recurrence, Local Risk Assessment
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Predicting the Prognosis of MCI Patients Using Longitudinal MRI Data.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are usin...
Alzheimer Disease Brain Prognosis Image Interpretation, Computer-Assisted Male Humans Female Middle Aged Neural Networks, Computer Aged Disease Progression Aged, 80 and over Cognitive Dysfunction Magnetic Resonance Imaging
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Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease.

Scientific reports May 27, 2021
We report a new approach using artificial intelligence (AI) to study and classify the severity of COVID-19 using 1208 chest X-rays (CXRs) of 396 COVID-19 patients obtained through the course of the disease at Emory Healthcare affiliated hospitals (At...
COVID-19 Algorithms Computer Simulation Female Aged Severity of Illness Index Humans Radiography Deep Learning Aged, 80 and over Neural Networks, Computer Adolescent Adult Artificial Intelligence Image Processing, Computer-Assisted Male Area Under Curve Middle Aged Disease Progression
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Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

Respiratory medicine May 26, 2021
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of healthcare resources, prevention of hospitalization and improve patient outcomes. We aimed to develop models using machine learning to predict risk of ex...
Status Asthmaticus Middle Aged Sweden Humans Cohort Studies Hospitalization Machine Learning Risk Assessment Models, Theoretical Young Adult Forecasting Disease Progression Data Interpretation, Statistical Adult Female Comorbidity Environmental Exposure Male Adolescent Risk
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Cortical Thickness from MRI to Predict Conversion from Mild Cognitive Impairment to Dementia in Parkinson Disease: A Machine Learning-based Model.

Radiology May 25, 2021
Background Group comparison results associating cortical thinning and Parkinson disease (PD) dementia (PDD) are limited in their application to clinical settings. Purpose To investigate whether cortical thickness from MRI can help predict conversion ...
Dementia Magnetic Resonance Imaging Parkinson Disease Aged Male Middle Aged Disease Progression Cognitive Dysfunction Humans Machine Learning Female
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Application of deep learning to understand resilience to Alzheimer's disease pathology.

Brain pathology (Zurich, Switzerland) May 19, 2021
People who have Alzheimer's disease neuropathologic change (ADNC) typically associated with dementia but not the associated cognitive decline can be considered to be "resilient" to the effects of ADNC. We have previously reported lower neocortical le...
Humans Algorithms Brain Female Aged Aged, 80 and over Male Disease Progression DNA-Binding Proteins Deep Learning Alzheimer Disease Cognitive Dysfunction tau Proteins Cognition Phosphorylation
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