Artificial intelligence in acute respiratory distress syndrome: a systematic review

M Rashid, M Ramakrishnan, VP Chandran… - Artificial Intelligence in …, 2022 - Elsevier
Background and objective Acute respiratory distress syndrome (ARDS) is a life-threatening
pulmonary disease with a high clinical and cost burden across the globe. Artificial …

A systematic review of machine learning models for management, prediction and classification of ARDS

TK Tran, MC Tran, A Joseph, PA Phan, V Grau… - Respiratory …, 2024 - Springer
Aim Acute respiratory distress syndrome or ARDS is an acute, severe form of respiratory
failure characterised by poor oxygenation and bilateral pulmonary infiltrates. Advancements …

Design of fuzzy logic-based ARDS Berlin definition for ventilator adjustments to ensure lung protection

JN Wanzala, MR Atim, J Obungoloch - International Journal of Fuzzy …, 2023 - Springer
The studies done on lung protective strategies in medical ventilators have shown that tidal
volume of 6-ml/kg predicted body weight protects the lungs of a patient during the invasive …

The role of computer-based clinical decision support systems to deliver protective mechanical ventilation

RG Khemani, JC Hotz, KA Sward… - Current opinion in …, 2020 - journals.lww.com
The role of computer-based clinical decision support systems... : Current Opinion in Critical
Care The role of computer-based clinical decision support systems to deliver protective …

Examination, Therapeutics, and Monitoring of the Respiratory System

PA Wilkins, KM Lascola, D Wong… - Equine Neonatal …, 2024 - Wiley Online Library
Physical examination begins outside the stall and involves determination of the respiratory
rate at rest and evaluation of the general attitude, demeanor, movement, and spontaneous …

Computerized decision support systems for mechanical ventilation in children

KA Sward, CJL Newth - Journal of Pediatric Intensive Care, 2016 - thieme-connect.com
Mechanical ventilation is an effective treatment in the ICU but can have significant adverse
effects. Approaches from adult research have been adopted in pediatric critical care despite …

Time-varying respiratory elastance for spontaneously breathing patients

YS Chiew, SF Poole, DP Redmond… - IFAC Proceedings …, 2014 - Elsevier
Respiratory mechanics models can be used to optimise patient-specific mechanical
ventilation (MV), but are limited to fully sedated MV patients who are not spontaneously …

Controlling mechanical ventilation in acute respiratory distress syndrome with fuzzy logic

B Nguyen, DB Bernstein, JHT Bates - Journal of critical care, 2014 - Elsevier
Purpose The current ventilatory care goal for acute respiratory distress syndrome (ARDS)
and the only evidence-based approach for managing ARDS is to ventilate with a tidal …

Design and Simulation of a Physician‐Based Fuzzy System for Ventilator Adjustments in ARDS Patients to Ensure Lung Protection

JN Wanzala, MR Atim… - Advances in Fuzzy …, 2023 - Wiley Online Library
The acute respiratory distress syndrome patients largely need a mechanical ventilator
intervention. There are procedures that have been developed to guide the physicians during …

[PDF][PDF] A model-based decision support system for mechanical ventilation using fuzzy logic

C Wang, G Zhang, T Wu - … Journal of Simulation: Systems, Science & …, 2016 - ijssst.info
In clinical practice, the mechanical ventilation is a very important aided method to improve
patients' breath, so parameter setting of ventilator directly affects pulmonary gas exchange …