Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis

Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis

Blood oxygen saturation (SpO<sub>2</sub>) is vital for patient monitoring, particularly in clinical settings. Traditional SpO<sub>2</sub> estimation methods have limitations, which can be addressed by analyzing photoplethysmography (PPG) signals with artificial intelligence (...

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Bibliographic Details
Main Authors: Ana María Cabanas, Nicolás Sáez, Patricio O. Collao-Caiconte, Pilar Martín-Escudero, Josué Pagán, Elena Jiménez-Herranz, José L. Ayala
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Bioengineering
Subjects:
oximetry
SpO<sub>2</sub>
artificial intelligence
machine learning
precision medicine
predictive modeling
Online Access:https://www.mdpi.com/2306-5354/11/11/1061
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