<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(1)</volume><submitter>Yoshihara H</submitter><journal>Scientific reports</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11297026</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Identifying sex from pharyngeal images using deep learning algorithm</pubmed_title><pmcid>PMC11297026</pmcid><pubmed_authors>Fukuda M</pubmed_authors><pubmed_authors>Tsugawa Y</pubmed_authors><pubmed_authors>Yoshihara H</pubmed_authors><pubmed_authors>Hanawa T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identifying sex from pharyngeal images using deep learning algorithm</name><description/><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jan</publication><modification>2025-04-19T20:48:01.555Z</modification><creation>2025-02-19T02:27:33.487Z</creation></dates><accession>S-EPMC11297026</accession><cross_references/></HashMap>