AIMC Topic: Disease Progression

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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...
Humans Disease Progression Deep Learning Cognitive Dysfunction 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 ...
Disease Progression Automobile Driving Algorithms Learning Humans Neural Networks, Computer
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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 Barrett Esophagus Adenocarcinoma Humans Esophageal Neoplasms Hyperplasia 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 ...
Neural Networks, Computer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Liver Disease Progression Peptides, Cyclic Deep Learning
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The promise of artificial intelligence for kidney pathophysiology.

Current opinion in nephrology and hypertension Jun 10, 2022
PURPOSE OF REVIEW: We seek to determine recent advances in kidney pathophysiology that have been enabled or enhanced by artificial intelligence. We describe some of the challenges in the field as well as future directions.
Disease Progression Kidney Algorithms Acute Kidney Injury Humans Artificial Intelligence
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Deep Learning-Based Prediction of Hematoma Expansion Using a Single Brain Computed Tomographic Slice in Patients With Spontaneous Intracerebral Hemorrhages.

World neurosurgery Jun 6, 2022
OBJECTIVES: We aimed to predict hematoma expansion in intracerebral hemorrhage (ICH) patients by using the deep learning technique.
Deep Learning Cerebral Hemorrhage Retrospective Studies Disease Progression Bayes Theorem Hematoma Humans Brain
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DNL-Net: deformed non-local neural network for blood vessel segmentation.

BMC medical imaging Jun 6, 2022
BACKGROUND: The non-local module has been primarily used in literature to capturing long-range dependencies. However, it suffers from prohibitive computational complexity and lacks the interactions among positions across the channels.
Pyramidal Tracts Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted
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Intracerebral hemorrhage detection on computed tomography images using a residual neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 4, 2022
Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by the rupture of a blood vessel of the vascular system inside the skull. ICH can lead to paralysis and even death. Therefore, it is considered a clinically da...
Humans Neural Networks, Computer Machine Learning Deep Learning Tomography, X-Ray Computed Cerebral Hemorrhage Disease Progression
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An efficient model of residual based convolutional neural network with Bayesian optimization for the classification of malarial cell images.

Computers in biology and medicine Jun 3, 2022
BACKGROUND: Malaria is a disease caused by the Plasmodium parasite, which results in millions of deaths in the human population worldwide each year. It is therefore considered a major global health issue with a massive disease burden. Accurate and ra...
Disease Progression Humans Bayes Theorem Neural Networks, Computer Malaria Machine Learning Support Vector Machine
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Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.

Journal of nephrology May 11, 2022
BACKGROUND AND OBJECTIVE: Aim of nephrologists is to delay the outcome and reduce the number of patients undergoing renal failure (RF) by applying prevention protocols and accurately monitoring chronic kidney disease (CKD) patients. General practitio...
Machine Learning Algorithms Databases, Factual Humans Renal Insufficiency, Chronic Disease Progression Artificial Intelligence
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