AIMC Topic: Respiratory System

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Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract.

BMC medical imaging Sep 25, 2023
PROBLEM: Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no comprehensive model has been estab...
Humans Semantics Respiratory System Artificial Intelligence Carcinoma
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Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology.

Computer methods in biomechanics and biomedical engineering Oct 28, 2022
Currently, intelligent systems built on a multimodal basis are used to study the functional state of living objects. Its essence lies in the fact that a decision is made through several independent information channels with the subsequent aggregation...
Respiratory System Humans Neural Networks, Computer
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Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with two centre validation.

Clinical radiology Jul 15, 2022
AIM: To develop and test a model based on a convolutional neural network that can identify enteric tube position accurately on chest radiography.
Deep Learning Retrospective Studies Radiography Humans Adult Radiography, Thoracic Neural Networks, Computer Respiratory System
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RespiraTox - Development of a QSAR model to predict human respiratory irritants.

Regulatory toxicology and pharmacology : RTP Nov 30, 2021
Respiratory irritation is an important human health endpoint in chemical risk assessment. There are two established modes of action of respiratory irritation, 1) sensory irritation mediated by the interaction with sensory neurons, potentially stimula...
Risk Assessment Quantitative Structure-Activity Relationship Machine Learning Respiratory System Irritants Animal Testing Alternatives Administration, Inhalation
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SquiggleNet: real-time, direct classification of nanopore signals.

Genome biology Oct 27, 2021
We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from their electrical signals. SquiggleNet operates faster than DNA passes through the pore, allowing real-time classification and read ejection. Using 1 ...
Nanopore Sequencing Metagenome Deep Learning Humans Long Interspersed Nucleotide Elements DNA, Bacterial Respiratory System
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Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.

Medical & biological engineering & computing Oct 15, 2021
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the breathing pattern of a patient. Therefore, the tracking error in each patient must be determined. Support vector regression (SVR) can be used to easily ...
Respiratory System Algorithms Robotics Respiration Radiosurgery Humans
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Commentary: Reconfiguring the airway with the robot to improve patients' quality of life.

The Journal of thoracic and cardiovascular surgery Jul 26, 2021
Respiratory System Humans Quality of Life Robotics
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Machine learning-based data analytic approaches for evaluating post-natal mouse respiratory physiological evolution.

Respiratory physiology & neurobiology Sep 30, 2020
Respiratory parameters change during post-natal development, but the nature of their changes have not been well-described. The advent of commercially available plethysmographic instruments provided improved repeatability of measurements and standardi...
Respiratory Physiological Phenomena Respiratory System Plethysmography Tidal Volume Animals, Newborn Age Factors Mice, Inbred C57BL Animals Mice Machine Learning
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Small airway segmentation in thoracic computed tomography scans: a machine learning approach.

Physics in medicine and biology Aug 6, 2018
Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propose a novel method based on machine learning to extract the airway system from a thoracic computed tomography (CT) scan. The emphasis of the proposed me...
Radiography, Thoracic Respiratory System Machine Learning Tomography, X-Ray Computed Humans Radiographic Image Enhancement
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Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.

International journal of biological sciences May 22, 2018
Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respiratory system. To improve the efficiency of intensive care unit (ICU) staff and achieve timely clearance of secretion in patients with mechanical venti...
Neural Networks, Computer Humans Sputum Algorithms Wavelet Analysis Respiratory System
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