AIMC Topic: Disease Progression
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Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions.
International journal of computer assisted radiology and surgery
Nov 4, 2020
PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The early diagnosis and treatment are conducive to control disease progression, but currently, there is no effective screening method. The present study a...
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.
Medical image analysis
Oct 15, 2020
Coronavirus disease 2019 (COVID-19) emerged in 2019 and disseminated around the world rapidly. Computed tomography (CT) imaging has been proven to be an important tool for screening, disease quantification and staging. The latter is of extreme import...
Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment.
Human brain mapping
Oct 8, 2020
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weig...
Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Oct 1, 2020
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the ado...
Female
Predictive Value of Tests
Melanoma
Humans
Neoplasm Staging
Skin Neoplasms
Biopsy
Machine Learning
Reproducibility of Results
Aged
Neoplasm Recurrence, Local
Microscopy
Automation, Laboratory
Risk Factors
Progression-Free Survival
Adult
Image Interpretation, Computer-Assisted
Databases, Factual
Risk Assessment
Tumor Microenvironment
Lymphocyte Count
Retrospective Studies
Disease Progression
Male
Diagnosis, Computer-Assisted
Middle Aged
Lymphocytes, Tumor-Infiltrating
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.
Proceedings of the National Academy of Sciences of the United States of America
Sep 21, 2020
Many diseases have no visual cues in the early stages, eluding image-based detection. Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible stage of the disease. Currently no reliable method exists for OA detection...
The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Humans
Machine Learning
Biomarkers
Brain
Female
Aged
Aged, 80 and over
Young Adult
Adult
Disease Progression
White Matter
Male
Neuropsychological Tests
Aging
Cognitive Dysfunction
Atrophy
Image Processing, Computer-Assisted
Middle Aged
Cerebral Small Vessel Diseases
Magnetic Resonance Imaging
Amyloid beta-Peptides
Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.
Ophthalmology
Sep 2, 2020
PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm a...
Does including machine learning predictions in ALS clinical trial analysis improve statistical power?
Annals of clinical and translational neurology
Aug 30, 2020
OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progressive muscle weakness and eventually death. The increasing availability of large ALS clinical trial datasets have generated much interest in developing...
Detecting asthma exacerbations using daily home monitoring and machine learning.
The Journal of asthma : official journal of the Association for the Care of Asthma
Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Aug 14, 2020
OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is important for the early intervention and management of AD. The aim of our study was to develop a longitudinal structural magnetic res...
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