AIMC Topic: Oximetry

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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 ...
Reproducibility of Results Oxygen Saturation Oximetry Humans Artificial Intelligence Algorithms
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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...
Middle Aged Spectroscopy, Near-Infrared Hemodynamics Monitoring, Intraoperative Reproducibility of Results Aged Adult Male Carbon Dioxide Oxygen Saturation Cerebrovascular Circulation Oximetry ROC Curve Oxygen Signal Processing, Computer-Assisted Supervised Machine Learning Humans Machine Learning Algorithms Brain Female
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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study.

Journal of medical Internet research Dec 19, 2024
BACKGROUND: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by frequent pauses or shallow breathing during sleep. Polysomnography, the gold standard for OSA assessment, is time consuming and labor intensive, thus limiting di...
Aged Adult Male Middle Aged Humans Machine Learning Female Oximetry Surveys and Questionnaires Mass Screening Sleep Apnea, Obstructive Polysomnography
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Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To investigate the comprehensive prediction ability for cognitive impairment in a general elder population using the combination of the multimodal ophthalmic imaging and artificial neural networks.
Cognitive Dysfunction Mass Screening Multimodal Imaging Predictive Value of Tests Female Aged Male Middle Aged Oximetry Humans Neural Networks, Computer
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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.
Humans Models, Statistical Sleep Apnea Syndromes Sleep Apnea, Obstructive Oxygen Saturation Polysomnography Oximetry Adult Male Middle Aged Mass Screening Machine Learning Female Aged
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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...
Imaging, Three-Dimensional Multimodal Imaging Oxygen Oxygen Saturation Young Adult Face Adult Oximetry Male Spectroscopy, Near-Infrared Humans Neural Networks, Computer Female
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Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study.

Journal of cardiovascular translational research Jul 17, 2024
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an elevation in left ventricular filling pressures (LVP) to compensate. LVP increase can be assessed in the cardiac catheterization laboratory, but this ...
Machine Learning Animals Heart Failure Heart Rate Oximetry Swine, Miniature Heart Sounds Phonocardiography Ventricular Pressure Disease Models, Animal Predictive Value of Tests Signal Processing, Computer-Assisted Feasibility Studies Ventricular Function, Left Stroke Volume Swine Electrocardiography
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Machine learning-based detection of sleep-disordered breathing in hypertrophic cardiomyopathy.

Heart (British Cardiac Society) Jun 25, 2024
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is often concomitant with sleep-disordered breathing (SDB), which can cause adverse cardiovascular events. Although an appropriate approach to SDB prevents cardiac remodelling, detection of concomitant SD...
Male Middle Aged ROC Curve Sleep Apnea Syndromes Cardiomyopathy, Hypertrophic Oximetry Machine Learning Female Aged Adult Humans
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Machine Learning-Based Critical Congenital Heart Disease Screening Using Dual-Site Pulse Oximetry Measurements.

Journal of the American Heart Association Jun 15, 2024
BACKGROUND: Oxygen saturation (Spo) screening has not led to earlier detection of critical congenital heart disease (CCHD). Adding pulse oximetry features (ie, perfusion data and radiofemoral pulse delay) may improve CCHD detection, especially coarct...
Male ROC Curve Predictive Value of Tests Oxygen Saturation Algorithms Humans Prospective Studies Machine Learning Female Infant, Newborn Neonatal Screening Heart Defects, Congenital Oximetry
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Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry.

Journal of biomedical optics Jun 5, 2024
SIGNIFICANCE: Photoacoustic imaging (PAI) promises to measure spatially resolved blood oxygen saturation but suffers from a lack of accurate and robust spectral unmixing methods to deliver on this promise. Accurate blood oxygenation estimation could ...
Photoacoustic Techniques Oximetry Neural Networks, Computer Algorithms Oxygen Oxygen Saturation Humans
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