AIMC Topic: Respiratory Distress Syndrome

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Identification and experimental validation of diagnostic and prognostic genes CX3CR1, PID1 and PTGDS in sepsis and ARDS using bulk and single-cell transcriptomic analysis and machine learning.

Frontiers in immunology Dec 23, 2024
BACKGROUND: Sepsis is an uncontrolled reaction to infection that causes severe organ dysfunction and is a primary cause of ARDS. Patients suffering both sepsis and ARDS have a poor prognosis and high mortality. However, the mechanisms behind their si...
Respiratory Distress Syndrome CX3C Chemokine Receptor 1 Transcriptome Sepsis Single-Cell Analysis Prognosis Humans Animals Machine Learning Gene Expression Profiling Biomarkers Gene Regulatory Networks Mice Mice, Inbred C57BL
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Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.

Scientific reports Nov 15, 2024
OBJECTIVE: The objective was to establish a machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.
Neural Networks, Computer Machine Learning Prognosis Humans Male Intensive Care Units Sepsis Middle Aged Female Respiratory Distress Syndrome Aged
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Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database.

Journal of intensive care medicine Sep 5, 2024
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).MethodsThis retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ...
Humans Machine Learning Predictive Value of Tests Middle Aged Bayes Theorem Sepsis Female Hospital Mortality Databases, Factual ROC Curve Aged Retrospective Studies Logistic Models Male Intensive Care Units Respiratory Distress Syndrome
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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.

Journal of translational medicine Aug 15, 2024
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potenti...
Area Under Curve Cardiac Surgical Procedures Cohort Studies ROC Curve Respiratory Distress Syndrome Humans Machine Learning Male Middle Aged Female Aged
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Machine Learning Tools for Acute Respiratory Distress Syndrome Detection and Prediction.

Critical care medicine Aug 12, 2024
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction are increasingly used. Therefore, understanding risks and benefits of such algorithms is relevant at the bedside. ARDS is a complex and severe lung co...
Machine Learning Algorithms Intensive Care Units Respiratory Distress Syndrome Humans
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Early predictive values of clinical assessments for ARDS mortality: a machine-learning approach.

Scientific reports Aug 1, 2024
Acute respiratory distress syndrome (ARDS) is a devastating critical care syndrome with significant morbidity and mortality. The objective of this study was to evaluate the predictive values of dynamic clinical indices by developing machine-learning ...
Female Aged Adult Algorithms Prognosis Retrospective Studies Respiratory Distress Syndrome Predictive Value of Tests Male Middle Aged ROC Curve Humans Machine Learning
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ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes.

BMC medical informatics and decision making Jul 16, 2024
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), its detection remains highly variable and inconsistent. In this work, we aim to develop an algorithm (ARDSFlag) to automate the diagnosis of ARDS based...
Humans Machine Learning Algorithms Natural Language Processing Male Intensive Care Units Middle Aged Electronic Health Records Respiratory Distress Syndrome Female
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Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion.

Sensors (Basel, Switzerland) Jun 17, 2024
The rapid advancements in Artificial Intelligence of Things (AIoT) are pivotal for the healthcare sector, especially as the world approaches an aging society which will be reached by 2050. This paper presents an innovative AIoT-enabled data fusion sy...
Intensive Care Units Respiratory Distress Syndrome Humans Artificial Intelligence
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A systematic review of machine learning models for management, prediction and classification of ARDS.

Respiratory research Jun 4, 2024
AIM: Acute respiratory distress syndrome or ARDS is an acute, severe form of respiratory failure characterised by poor oxygenation and bilateral pulmonary infiltrates. Advancements in signal processing and machine learning have led to promising solut...
Machine Learning Respiratory Distress Syndrome Predictive Value of Tests Humans
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Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks.

Journal of critical care Mar 28, 2024
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable of differentiation Chest X-Rays between pneumonia, acute respiratory distress syndrome (ARDS) and normal lungs.
Radiography, Thoracic Neural Networks, Computer Intensive Care Units Female Humans Respiratory Distress Syndrome Middle Aged Adult Pneumonia Deep Learning Sensitivity and Specificity Male
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