Automated neonatal hip ultrasound system for diagnosing developmental dysplasia of hips using assistive AI

Automated neonatal hip ultrasound system for diagnosing developmental dysplasia of hips using assistive AI | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Automated neonatal hip ultrasound system for diagnosing developmental dysplasia of hips using assistive AI Young Seop Lee, Young Jae Kim, Jeong Won Ryu, Kwang Gi Kim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4753646/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Children with developmental dysplasia of the hip (DDH) joint often do not exhibit clinical symptoms, and diagnosis in some cases relies solely on hip joint examination. There are several methods to examine the hip joint, with ultrasound being the simplest and most convenient diagnostic method. The Graff algorithm is commonly used to diagnose hip dysplasia by measuring angles at different landmarks in the hip region. This study utilized the SONON 300L device developed by Hilserion to acquire ultrasound images of the hip joints in 18 infants and children. Following classification, the standard planes were aligned with the Graf’s landmarks using an artificial intelligence (AI) model, and the landmark regions were subsequently segmented. Significant findings were observed in the ultrasound images, with a maximum area-under-the-curve of 0.864 and a Dice coefficient of 0.660. The Graf algorithm was employed to develop an automated model for diagnosing DDH, resulting in a DDH-assisted AI model with an average Graf angle error rate of 0.21 compared to expert diagnostics Health sciences/Medical research/Paediatric research Health sciences/Health care/Diagnosis/Physical examination Health sciences/Health care/Medical imaging/Ultrasonography Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4753646","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":339247865,"identity":"d18e885a-8c53-44a0-bca1-7b51dc4af11f","order_by":0,"name":"Young Seop Lee","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2klEQVRIiWNgGAWjYBACPmbGBgaGChs5+3YgzWBgQVgLG1jLmTRjA54DIC0SRGgBEYxthxM3SCSAmMRoYWduk/jAdphxu+Tzqxt+FEgw8Ld3JxByWJvkDJ50ZsvZOWU3e4AOkzhzdgMhLc3GPBLWbAy3c9Ju8AC1GEjkEqHljwEzD8PNM2k3/xCppfExQ4KzhMEN9mO3ibWl8WHPgTQDyZ4cttsyBhI8BP3Cz3/8wYGf/2zq+9mPP7v55o+NHH97L34tSIDHAEwSqxwE2B+QonoUjIJRMApGEAAAqS5CfMu0MRsAAAAASUVORK5CYII=","orcid":"","institution":"Gachon University","correspondingAuthor":true,"prefix":"","firstName":"Young","middleName":"Seop","lastName":"Lee","suffix":""},{"id":339247866,"identity":"c759447b-bb9c-4c4b-b115-b42379297d7a","order_by":1,"name":"Young Jae Kim","email":"","orcid":"","institution":"Gachon University Gil Hospital","correspondingAuthor":false,"prefix":"","firstName":"Young","middleName":"Jae","lastName":"Kim","suffix":""},{"id":339247867,"identity":"95e1e779-b9c3-49b2-88b1-1c55234a864e","order_by":2,"name":"Jeong Won Ryu","email":"","orcid":"","institution":"Advanced Medical Technology Laboratory, Healcerion Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Jeong","middleName":"Won","lastName":"Ryu","suffix":""},{"id":339247868,"identity":"dd01d26c-bd8f-428a-ac53-dd4f97f10ca0","order_by":3,"name":"Kwang Gi Kim","email":"","orcid":"","institution":"Gachon University Gil Hospital","correspondingAuthor":false,"prefix":"","firstName":"Kwang","middleName":"Gi","lastName":"Kim","suffix":""}],"badges":[],"createdAt":"2024-07-17 05:09:20","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-4753646/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4753646/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":68169276,"identity":"73e153a6-cb32-4c2b-997b-fe1b4051bc9e","added_by":"auto","created_at":"2024-11-04 10:09:47","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":668550,"visible":true,"origin":"","legend":"","description":"","filename":"AutomatedneonatalhipultrasoundsystemfordiagnosingdevelopmentaldysplasiaofhipsusingassistiveAI.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4753646/v1_covered_e9b48a5d-be88-4157-a860-ce15f2af8412.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Automated neonatal hip ultrasound system for diagnosing developmental dysplasia of hips using assistive AI","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4753646/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4753646/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Children with developmental dysplasia of the hip (DDH) joint often do not exhibit clinical symptoms, and diagnosis in some cases relies solely on hip joint examination. 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