AIMC Topic:
Bayes Theorem

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Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data.

Studies in health technology and informatics Jan 14, 2022
Critical care can benefit from analyzing data by machine learning approaches for supporting clinical routine and guiding clinical decision-making. Developing data-driven approaches for an early detection of systemic inflammatory response syndrome (SI...
Machine Learning Child Systemic Inflammatory Response Syndrome Humans Early Diagnosis Bayes Theorem Critical Care
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A neural surveyor to map touch on the body.

Proceedings of the National Academy of Sciences of the United States of America Jan 4, 2022
Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touc...
Humans Neural Networks, Computer Touch Perception Somatosensory Cortex Touch Physical Stimulation Mice Models, Neurological Bayes Theorem Neurons Adult Female Brain Mapping Animals Young Adult
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Optimized Deformable Model-based Segmentation and Deep Learning for Lung Cancer Classification.

The journal of medical investigation : JMI Jan 1, 2022
Lung cancer is one of the life taking disease and causes more deaths worldwide. Early detection and treatment is necessary to save life. It is very difficult for doctors to interpret and identify diseases using imaging modalities alone. Therefore com...
Lung Neoplasms Bayes Theorem Deep Learning Image Processing, Computer-Assisted Sea Lions Animals Lung
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Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance.

JSLS : Journal of the Society of Laparoendoscopic Surgeons Jan 1, 2022
BACKGROUND: The expansion of robotic surgery requires identifying factors of competent robotic bedside assisting. Surgical trainees desire more robotic console time, and we hypothesized that protocolized robotic surgery bedside training could equip A...
Humans Robotics Pilot Projects Bayes Theorem Clinical Competence Robotic Surgical Procedures
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Genome-Enabled Prediction Methods Based on Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Growth of artificial intelligence and machine learning (ML) methodology has been explosive in recent years. In this class of procedures, computers get knowledge from sets of experiences and provide forecasts or classification. In genome-wide based pr...
Bayes Theorem Genome Machine Learning Algorithms Animals Artificial Intelligence
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Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

Health informatics journal Jan 1, 2022
The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during pregnancy. This study aims to classify the umbilical cord based on ultrasound images. The similarity of shape and coil between each class becomes a challe...
Algorithms Humans Bayes Theorem Machine Learning Pregnancy Umbilical Cord Female Ultrasonography, Doppler
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Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 1, 2022
Advanced shape analysis studies such as regression and classification need to be performed on curved manifolds, where often, there is a lack of standard statistical formulations. To overcome these limitations, we introduce a novel machine-learning me...
Normal Distribution Machine Learning Child Humans Bayes Theorem
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Leukemia classification using the deep learning method of CNN.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Processing Low-Intensity Medical Images (LI-MI) is difficult as outcomes are varied when it comes to manual examination, which is also a time-consuming process.
Bayes Theorem Leukemia Humans Machine Learning Neural Networks, Computer Deep Learning
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Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to the lack of specific diagnostic biomarkers. However, stratifying individuals at high risk of PDAC, followed by monitoring their health conditions on re...
Carcinoma, Pancreatic Ductal Tomography, X-Ray Computed Abdomen Pancreatic Neoplasms Bayes Theorem Early Detection of Cancer Humans Artificial Intelligence
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Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.

JCO clinical cancer informatics Dec 1, 2021
PURPOSE: There is a need for an improved understanding of clinical and biologic risk factors in pediatric cancer to improve patient outcomes. Machine learning (ML) represents the application of computational inference from advanced statistical method...
Child Machine Learning Bayes Theorem Humans Risk Factors Medical Oncology Artificial Intelligence
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