AIMC Topic: Disease Progression

Clear Filters Showing 281 to 290 of 749 articles

Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

European radiology Feb 24, 2022
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The present study aimed to develop weakly supervised deep learning (DL) models that utilize computed tomography (CT) image data for the automated detection and stagi...
Humans Retrospective Studies Tomography, X-Ray Computed Spirometry Pulmonary Disease, Chronic Obstructive Disease Progression Deep Learning
View on PubMed DOI

Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.

Journal of digital imaging Feb 23, 2022
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it is characterized by the production of immature malignant cells in the bone marrow. Computer vision techniques provide automated analysis that can help specialist...
Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted Child Bayes Theorem Precursor Cell Lymphoblastic Leukemia-Lymphoma
View on PubMed DOI

Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field.

Sensors (Basel, Switzerland) Feb 22, 2022
The axle box in the bogie system of subway trains is a key component connecting primary damper and the axle. In order to extract deep features and large-scale fault features for rapid diagnosis, a novel fault reconstruction characteristics classifica...
Algorithms Disease Progression Image Processing, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Understanding Heart Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Heart failure (HF) is a major cause of mortality. Accurately monitoring HF progress and adjusting therapies are critical for improving patient outcomes. An experienced cardiologist can make accurate HF stage diagnoses based on combination of symptoms...
Electronic Health Records Humans Disease Progression Machine Learning Heart Failure
View on PubMed

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Age-related macular degeneration (AMD) is the leading cause of vision loss. Some patients experience vision loss over a delayed timeframe, others at a rapid pace. Physicians analyze time-of-visit fundus photographs to predict patient risk of developi...
Survival Analysis Humans Prognosis Disease Progression Deep Learning Fundus Oculi Macular Degeneration
View on PubMed

IDNetwork: A deep illness-death network based on multi-state event history process for disease prognostication.

Statistics in medicine Feb 17, 2022
Multi-state models can capture the different patterns of disease evolution. In particular, the illness-death model is used to follow disease progression from a healthy state to an intermediate state of the disease and to a death-related final state. ...
Probability Markov Chains Proportional Hazards Models Disease Transmission, Infectious Risk Factors Disease Progression United States Neural Networks, Computer Prognosis Humans
View on PubMed DOI

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...
Middle Aged Risk Assessment Disease Progression Aged Leukemia, Lymphocytic, Chronic, B-Cell Male Predictive Value of Tests Humans Bayes Theorem Clinical Decision-Making Time Factors Artificial Intelligence Health Status Indicators Female Treatment Outcome Decision Support Techniques Risk Factors Health Status
View on PubMed DOI

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 Multiple Sclerosis Disease Progression Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

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...
COVID-19 Humans SARS-CoV-2 Disease Progression Neural Networks, Computer Aged Deep Learning
View on PubMed DOI

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...
Female Magnetic Resonance Imaging Aged Alzheimer Disease Adolescent Young Adult Atrophy Cognitive Dysfunction Case-Control Studies Humans Corpus Callosum Child Deep Learning Middle Aged Adult Risk Assessment Cross-Sectional Studies Disease Progression Male
View on PubMed DOI
Popular Topics
Recent Journals