AIMC Topic: Disease Progression

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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.
Humans Artificial Intelligence Disease Progression Kidney Algorithms Acute Kidney Injury
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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.
Humans Disease Progression Deep Learning Brain Cerebral Hemorrhage Retrospective Studies Bayes Theorem Hematoma
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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.
Disease Progression Image Processing, Computer-Assisted Pyramidal Tracts Humans Neural Networks, Computer
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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...
Disease Progression Deep Learning Cerebral Hemorrhage Machine Learning Tomography, X-Ray Computed Humans Neural Networks, Computer
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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...
Bayes Theorem Malaria Humans Neural Networks, Computer Disease Progression Support Vector Machine Machine Learning
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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...
Disease Progression Renal Insufficiency, Chronic Algorithms Databases, Factual Artificial Intelligence Machine Learning Humans
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Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images.

Sensors (Basel, Switzerland) Apr 30, 2022
We propose an encoder-decoder architecture using wide and deep convolutional layers combined with different aggregation modules for the segmentation of medical images. Initially, we obtain a rich representation of features that span from low to high ...
Humans Neural Networks, Computer Data Collection Image Processing, Computer-Assisted Disease Progression
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A Novel Transformer-Based Attention Network for Image Dehazing.

Sensors (Basel, Switzerland) Apr 30, 2022
Image dehazing is challenging due to the problem of ill-posed parameter estimation. Numerous prior-based and learning-based methods have achieved great success. However, most learning-based methods use the changes and connections between scale and de...
Disease Progression Image Processing, Computer-Assisted Neural Networks, Computer Learning Humans
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Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative.

Arthritis care & research Apr 1, 2022
OBJECTIVE: To study the longitudinal performance of fully automated cartilage segmentation in knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in progressor knees from the Foundation for the National Institutes of H...
Humans Cartilage, Articular National Institutes of Health (U.S.) Algorithms Disease Progression Magnetic Resonance Imaging Biomarkers Knee Joint Deep Learning Case-Control Studies Osteoarthritis, Knee United States
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Machine learning predicts cancer subtypes and progression from blood immune signatures.

PloS one Feb 28, 2022
Clinical adoption of immune checkpoint inhibitors in cancer management has highlighted the interconnection between carcinogenesis and the immune system. Immune cells are integral to the tumour microenvironment and can influence the outcome of therapi...
Myeloid Cells Tumor Microenvironment Animals Female Mice Colorectal Neoplasms Cell Line, Tumor Humans Disease Progression Mice, Inbred BALB C B7-H1 Antigen Machine Learning
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