Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datas...
Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datasets of soft palate images
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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There is a currently an unmet need for non-invasive methods to predict the risk of esophageal squamous cell carcinoma (ESCC). Previously, we found that specific soft palate morphologies are strongly associated with increased ESCC risk. However, there is currently no artificial intelligence (AI) system that utilizes oral images for ESCC risk assessm...
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Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datasets of soft palate images
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TN_cdi_doaj_primary_oai_doaj_org_article_d04f0d93aadb4a27a989d6e539d177d4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d04f0d93aadb4a27a989d6e539d177d4
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-86829-8
