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Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images

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Published in:Anesthesiology Research and Practice
Format: Online Article RSS Article
Published: 2026
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container_title Anesthesiology Research and Practice
description
discipline_display Anaesthesiology
discipline_facet Anaesthesiology
format Online Article
RSS Article
genre Journal Article
id rss_article:84273
institution FRELIP
journal_source_facet Anesthesiology Research and Practice
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
Anaesthesiology
General
Anaesthesiology
sub_discipline_display General
sub_discipline_facet General
subject_display Anaesthesiology
General
Anaesthesiology
Anaesthesiology
General
Anaesthesiology
subject_facet Anaesthesiology
General
Anaesthesiology
title Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_auth Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_full Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_fullStr Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_full_unstemmed Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_short Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
title_sort feasibility of using deep learning to detect hypoxemia during painless gastrointestinal endoscopy based on facial images
topic Anaesthesiology
General
Anaesthesiology
url https://www.hindawi.com/journals/arp/2026/1829505/