AIMC Topic: Disease Progression

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Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis.

BMC medical informatics and decision making Aug 1, 2022
BACKGROUND: Kidney disease progression rates vary among patients. Rapid and accurate prediction of kidney disease outcomes is crucial for disease management. In recent years, various prediction models using Machine Learning (ML) algorithms have been ...
Humans Disease Progression Kidney Renal Insufficiency, Chronic Machine Learning Algorithms
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Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.

Pediatric nephrology (Berlin, Germany) Jul 22, 2022
BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting the risk and timing of chronic kidney disease (CKD) progression for boys with posterior urethral va...
Child Kidney Disease Progression Deep Learning Urethra Urethral Obstruction Renal Insufficiency, Chronic Creatinine Male Infant Retrospective Studies Humans
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A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.

Journal of neuro-oncology Jul 19, 2022
INTRODUCTION: Glioblastomas (GBMs) are highly aggressive tumors. A common clinical challenge after standard of care treatment is differentiating tumor progression from treatment-related changes, also known as pseudoprogression (PsP). Usually, PsP res...
Humans Magnetic Resonance Imaging Glioblastoma Disease Progression Retrospective Studies Deep Learning Brain Neoplasms
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Classification of multi-lead ECG with deep residual convolutional neural networks.

Physiological measurement Jul 18, 2022
. Automatic electrocardiogram (ECG) interpretation based on deep learning methods is attracting increasing attention. In this study, we propose a novel method to accurately classify multi-lead ECGs using deep residual neural networks.. ECG recordings...
Neural Networks, Computer Electrocardiography Algorithms Databases, Factual Disease Progression Humans
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A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

Journal of the American Society of Nephrology : JASN Jun 29, 2022
BACKGROUND: Total kidney volume (TKV) is an important imaging biomarker in autosomal dominant polycystic kidney disease (ADPKD). Manual computation of TKV, particularly with the exclusion of exophytic cysts, is laborious and time consuming.
Kidney Deep Learning Polycystic Kidney, Autosomal Dominant Cysts Magnetic Resonance Imaging Humans Image Processing, Computer-Assisted Disease Progression
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Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Journal of medical Internet research Jun 21, 2022
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection, given the current audio sample, b...
Cough Disease Progression Voice Humans Deep Learning COVID-19
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Multimodal deep learning for Alzheimer's disease dementia assessment.

Nature communications Jun 20, 2022
Worldwide, there are nearly 10 million new cases of dementia annually, of which Alzheimer's disease (AD) is the most common. New measures are needed to improve the diagnosis of individuals with cognitive impairment due to various etiologies. Here, we...
Disease Progression Deep Learning Cognitive Dysfunction Humans Alzheimer Disease Neuroimaging
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DPSSD: Dual-Path Single-Shot Detector.

Sensors (Basel, Switzerland) Jun 18, 2022
Object detection is one of the most important and challenging branches of computer vision. It has been widely used in people's lives, such as for surveillance security and autonomous driving. We propose a novel dual-path multi-scale object detection ...
Learning Disease Progression Automobile Driving Humans Neural Networks, Computer Algorithms
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Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.

Gastrointestinal endoscopy Jun 17, 2022
BACKGROUND AND AIMS: The risk of progression in Barrett's esophagus (BE) increases with development of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver disagreement among expert pathologist...
Deep Learning Adenocarcinoma Barrett Esophagus Hyperplasia Esophageal Neoplasms Humans Disease Progression
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RA V-Net: deep learning network for automated liver segmentation.

Physics in medicine and biology Jun 16, 2022
Segmenting liver from CT images is the first step for doctors to diagnose a patient's disease. Processing medical images with deep learning models has become a current research trend. Although it can automate segmenting region of interest of medical ...
Peptides, Cyclic Image Processing, Computer-Assisted Liver Disease Progression Deep Learning Neural Networks, Computer Tomography, X-Ray Computed Humans
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