AIMC Topic: Oxygen Saturation
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Intermittent hypoxemia during hemodialysis: AI-based identification of arterial oxygen saturation saw-tooth pattern.
BMC nephrology
Apr 28, 2025
BACKGROUND: Maintenance hemodialysis patients experience high morbidity and mortality, primarily from cardiovascular and infectious diseases. It was discovered recently that low arterial oxygen saturation (SaO) is associated with a pro-inflammatory p...
Technical and regulatory challenges in artificial intelligence-based pulse oximetry: a proposed development pipeline.
British journal of anaesthesia
Mar 14, 2025
Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately estimating peripheral oxygen saturation (SpO) in complex clinical scenarios, particularly at lower saturation levels and in patients with darker skin ...
Accurate Estimation of Methemoglobin and Oxygen Saturation in Skin Tissue Using Diffuse Reflectance Spectroscopy and Artificial Intelligence.
Journal of biophotonics
Feb 26, 2025
In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentration. The proposed technique incorporates a novel machine learning model using the artificial neural network to detect methemoglobin and oxygen satur...
Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.
Journal of clinical monitoring and computing
Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Humans
Spectroscopy, Near-Infrared
Machine Learning
Brain
Hemodynamics
Carbon Dioxide
Algorithms
Adult
Female
Monitoring, Intraoperative
Oxygen Saturation
Male
ROC Curve
Oxygen
Reproducibility of Results
Cerebrovascular Circulation
Middle Aged
Signal Processing, Computer-Assisted
Oximetry
Aged
Supervised Machine Learning
Enabling machine learning models in alarm fatigue research: Creation of a large relevance-annotated oxygen saturation alarm data set.
Computers in biology and medicine
Oct 24, 2024
BACKGROUND: Too many unnecessary alarms in the intensive care unit are one of the main reasons for alarm fatigue: Medical staff is overburdened and fails to respond appropriately. This endangers both patients and staff. Currently, there are no algori...
Machine learning models of cerebral oxygenation (rcSO) for brain injury detection in neonates with hypoxic-ischaemic encephalopathy.
The Journal of physiology
Oct 19, 2024
The present study was designed to test the potential utility of regional cerebral oxygen saturation (rcSO) in detecting term infants with brain injury. The study also examined whether quantitative rcSO features are associated with grade of hypoxic is...
Construction and evaluation of a predictive model for the types of sleep respiratory events in patients with OSA based on hypoxic parameters.
Sleep & breathing = Schlaf & Atmung
Aug 29, 2024
OBJECTIVE: To explore the differences and associations of hypoxic parameters among distinct types of respiratory events in patients with obstructive sleep apnea (OSA) and to construct prediction models for the types of respiratory events based on hyp...
Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.
Sleep & breathing = Schlaf & Atmung
Aug 27, 2024
PURPOSE: This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Leveraging 3D convolutional neural network and 3D visible-near-infrared multimodal imaging for enhanced contactless oximetry.
Journal of biomedical optics
Aug 21, 2024
SIGNIFICANCE: Monitoring oxygen saturation ( ) is important in healthcare, especially for diagnosing and managing pulmonary diseases. Non-contact approaches broaden the potential applications of measurement by better hygiene, comfort, and capabilit...
Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation.
Journal of biomedical optics
Jul 10, 2024
SIGNIFICANCE: Imaging blood oxygen saturation ( ) in the skin can be of clinical value when studying ischemic tissue. Emerging multispectral snapshot cameras enable real-time imaging but are limited by slow analysis when using inverse Monte Carlo (M...
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