AIMC Topic: Respiration Disorders

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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN.

Sensors (Basel, Switzerland) Oct 27, 2024
Respiratory disorders are commonly regarded as complex disorders to diagnose due to their multi-factorial nature, encompassing the interplay between hereditary variables, comorbidities, environmental exposures, and therapies, among other contributing...
Lung Decision Support Systems, Clinical Respiration Disorders Respiratory Sounds Humans Neural Networks, Computer Algorithms
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Next-generation pediatric care: nanotechnology-based and AI-driven solutions for cardiovascular, respiratory, and gastrointestinal disorders.

World journal of pediatrics : WJP Aug 28, 2024
BACKGROUND: Global pediatric healthcare reveals significant morbidity and mortality rates linked to respiratory, cardiac, and gastrointestinal disorders in children and newborns, mostly due to the complexity of therapeutic management in pediatrics an...
Pediatrics Gastrointestinal Diseases Respiratory Tract Diseases Respiration Disorders Child Nanotechnology Nanomedicine Humans Drug Delivery Systems Cardiovascular Diseases Artificial Intelligence Infant, Newborn
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Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients.

Biomedical engineering online Oct 14, 2022
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients.
X-Rays Respiration Disorders Retrospective Studies Deep Learning Ventilators, Mechanical Humans COVID-19
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A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Scientific data Jun 16, 2022
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak detection through Natural Language Processing (NLP), machine learning models and deep learning tools. However, in order to train AI to facilitate these...
Physicians Interviews as Topic Natural Language Processing Physician-Patient Relations Humans Artificial Intelligence Machine Learning Respiration Disorders
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Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve.

Respiration; international review of thoracic diseases May 12, 2022
BACKGROUND: Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test for upper airway obstruction and its characteristic patterns involving fixed, variable intrathoracic ...
Spirometry Respiration Disorders Airway Obstruction Asthma Deep Learning Constriction, Pathologic Humans
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Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis.

Biomedical engineering online Mar 25, 2021
INTRODUCTION: The use of machine learning (ML) methods would improve the diagnosis of respiratory changes in systemic sclerosis (SSc). This paper evaluates the performance of several ML algorithms associated with the respiratory oscillometry analysis...
Adolescent Spirometry Biometry Respiration Disorders Scleroderma, Systemic Oscillometry Male Humans Middle Aged Aged Artificial Intelligence Diagnosis, Computer-Assisted Computers Young Adult Machine Learning Female Adult Algorithms
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Artificial Intelligence in Respiratory Diseases.

Archivos de bronconeumologia Feb 18, 2020
Respiration Disorders Humans Artificial Intelligence Machine Learning
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Artificial intelligence, machine learning and the pediatric airway.

Paediatric anaesthesia Jan 2, 2020
Artificial intelligence and machine learning are rapidly expanding fields with increasing relevance in anesthesia and, in particular, airway management. The ability of artificial intelligence and machine learning algorithms to recognize patterns from...
Machine Learning Postoperative Complications Humans Artificial Intelligence Child Respiration Disorders Intraoperative Complications Airway Management
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Assessing the impact of PM on respiratory disease using artificial neural networks.

Environmental pollution (Barking, Essex : 1987) Jan 5, 2018
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression mo...
Humidity Respiratory Tract Diseases Respiration Disorders Particulate Matter Temperature Humans Regression Analysis Environmental Exposure Hospitalization Neural Networks, Computer Brazil Air Pollutants Linear Models Models, Statistical Air Pollution
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Comparison of emergence after deep extubation using desflurane or desflurane with remifentanil in patients undergoing general anesthesia: a randomized trial.

Journal of clinical anesthesia Nov 11, 2015
STUDY OBJECTIVE: To compare recovery times and respiratory complications during emergence after deep extubation using either desflurane alone or a lower concentration of desflurane with remifentanil.
Anesthetics, Inhalation Middle Aged Isoflurane Desflurane Postoperative Complications Young Adult Respiration Disorders Piperidines Humans Anesthetics, Intravenous Pulmonary Alveoli Prospective Studies Anesthesia, General Airway Extubation Adult Anesthesia Recovery Period Female Male Double-Blind Method Remifentanil
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