EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ultrasound in obstetrics & gynecology 2024-09, Vol.64 (S1), p.108-108
Hauptverfasser: Dall'Asta, A., Ferrari, C., Ischimji, D. Ollari, Celora, G.M., Cagninelli, G., Bonetti, M., Degennaro, V.A., Prati, A., Ghi, T.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 108
container_issue S1
container_start_page 108
container_title Ultrasound in obstetrics & gynecology
container_volume 64
creator Dall'Asta, A.
Ferrari, C.
Ischimji, D. Ollari
Celora, G.M.
Cagninelli, G.
Bonetti, M.
Degennaro, V.A.
Prati, A.
Ghi, T.
description
doi_str_mv 10.1002/uog.28020
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3102048486</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3102048486</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1020-19956909fe28f3fb148aa983d997bb907374854eb21ac3bef7bf44a831ec770c3</originalsourceid><addsrcrecordid>eNp1kUFu2zAURIkiBeqkXfQGBLrKQs6nREtidkGQJgUCxIt6LZDSp_wDmXJJKoZ3OUIv0wv1JKGjbrsiMHzkDGYY-ypgKQDyq2nsl3kNOXxgCyFLlUEFqzO2AFVCVpUq_8TOQ3gGgFIW5YL9uVuDWMLqmq89Oh31wDFE2ulIo-Oj5RZPmsXd5LkZHfIdOfRJ6tAFikc-BXI9145rH8lSS-mOXMRhoB5di39ffxsdsON66EdPcbtLcMc9Du8eYUt7fkgyN-Tj9oDUb-M113zvx7DHNtIL8hc9UDdHCnHqjp_ZR6uHgF_-nRds8_3u5-1D9vh0_-P25jFrRaogE0qtSgXKYl7bwhoha61VXXRKVcYoqIpK1iuJJhe6LQzaylgpdV0IbKsK2uKCfZv_TWF-TamY5nmcvEuWTXFykLWsy0RdzlSbIgePttn71KA_NgKa0ypNWqV5XyWxVzN7oAGP_webzdP9_OINdHGTHg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3102048486</pqid></control><display><type>article</type><title>EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study</title><source>Access via Wiley Online Library</source><creator>Dall'Asta, A. ; Ferrari, C. ; Ischimji, D. Ollari ; Celora, G.M. ; Cagninelli, G. ; Bonetti, M. ; Degennaro, V.A. ; Prati, A. ; Ghi, T.</creator><creatorcontrib>Dall'Asta, A. ; Ferrari, C. ; Ischimji, D. Ollari ; Celora, G.M. ; Cagninelli, G. ; Bonetti, M. ; Degennaro, V.A. ; Prati, A. ; Ghi, T.</creatorcontrib><identifier>ISSN: 0960-7692</identifier><identifier>EISSN: 1469-0705</identifier><identifier>DOI: 10.1002/uog.28020</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Algorithms ; Artificial intelligence ; Birth weight ; Bone mineral density ; Femur ; Fetuses</subject><ispartof>Ultrasound in obstetrics &amp; gynecology, 2024-09, Vol.64 (S1), p.108-108</ispartof><rights>The Authors 2024. © Ultrasound in Obstetrics &amp; Gynecology</rights><rights>Copyright © 2024 ISUOG. Published by John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fuog.28020$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fuog.28020$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Dall'Asta, A.</creatorcontrib><creatorcontrib>Ferrari, C.</creatorcontrib><creatorcontrib>Ischimji, D. Ollari</creatorcontrib><creatorcontrib>Celora, G.M.</creatorcontrib><creatorcontrib>Cagninelli, G.</creatorcontrib><creatorcontrib>Bonetti, M.</creatorcontrib><creatorcontrib>Degennaro, V.A.</creatorcontrib><creatorcontrib>Prati, A.</creatorcontrib><creatorcontrib>Ghi, T.</creatorcontrib><title>EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study</title><title>Ultrasound in obstetrics &amp; gynecology</title><subject>Algorithms</subject><subject>Artificial intelligence</subject><subject>Birth weight</subject><subject>Bone mineral density</subject><subject>Femur</subject><subject>Fetuses</subject><issn>0960-7692</issn><issn>1469-0705</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kUFu2zAURIkiBeqkXfQGBLrKQs6nREtidkGQJgUCxIt6LZDSp_wDmXJJKoZ3OUIv0wv1JKGjbrsiMHzkDGYY-ypgKQDyq2nsl3kNOXxgCyFLlUEFqzO2AFVCVpUq_8TOQ3gGgFIW5YL9uVuDWMLqmq89Oh31wDFE2ulIo-Oj5RZPmsXd5LkZHfIdOfRJ6tAFikc-BXI9145rH8lSS-mOXMRhoB5di39ffxsdsON66EdPcbtLcMc9Du8eYUt7fkgyN-Tj9oDUb-M113zvx7DHNtIL8hc9UDdHCnHqjp_ZR6uHgF_-nRds8_3u5-1D9vh0_-P25jFrRaogE0qtSgXKYl7bwhoha61VXXRKVcYoqIpK1iuJJhe6LQzaylgpdV0IbKsK2uKCfZv_TWF-TamY5nmcvEuWTXFykLWsy0RdzlSbIgePttn71KA_NgKa0ypNWqV5XyWxVzN7oAGP_webzdP9_OINdHGTHg</recordid><startdate>202409</startdate><enddate>202409</enddate><creator>Dall'Asta, A.</creator><creator>Ferrari, C.</creator><creator>Ischimji, D. Ollari</creator><creator>Celora, G.M.</creator><creator>Cagninelli, G.</creator><creator>Bonetti, M.</creator><creator>Degennaro, V.A.</creator><creator>Prati, A.</creator><creator>Ghi, T.</creator><general>John Wiley &amp; Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope></search><sort><creationdate>202409</creationdate><title>EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study</title><author>Dall'Asta, A. ; Ferrari, C. ; Ischimji, D. Ollari ; Celora, G.M. ; Cagninelli, G. ; Bonetti, M. ; Degennaro, V.A. ; Prati, A. ; Ghi, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1020-19956909fe28f3fb148aa983d997bb907374854eb21ac3bef7bf44a831ec770c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Artificial intelligence</topic><topic>Birth weight</topic><topic>Bone mineral density</topic><topic>Femur</topic><topic>Fetuses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dall'Asta, A.</creatorcontrib><creatorcontrib>Ferrari, C.</creatorcontrib><creatorcontrib>Ischimji, D. Ollari</creatorcontrib><creatorcontrib>Celora, G.M.</creatorcontrib><creatorcontrib>Cagninelli, G.</creatorcontrib><creatorcontrib>Bonetti, M.</creatorcontrib><creatorcontrib>Degennaro, V.A.</creatorcontrib><creatorcontrib>Prati, A.</creatorcontrib><creatorcontrib>Ghi, T.</creatorcontrib><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dall'Asta, A.</au><au>Ferrari, C.</au><au>Ischimji, D. Ollari</au><au>Celora, G.M.</au><au>Cagninelli, G.</au><au>Bonetti, M.</au><au>Degennaro, V.A.</au><au>Prati, A.</au><au>Ghi, T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study</atitle><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle><date>2024-09</date><risdate>2024</risdate><volume>64</volume><issue>S1</issue><spage>108</spage><epage>108</epage><pages>108-108</pages><issn>0960-7692</issn><eissn>1469-0705</eissn><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/uog.28020</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0960-7692
ispartof Ultrasound in obstetrics & gynecology, 2024-09, Vol.64 (S1), p.108-108
issn 0960-7692
1469-0705
language eng
recordid cdi_proquest_journals_3102048486
source Access via Wiley Online Library
subjects Algorithms
Artificial intelligence
Birth weight
Bone mineral density
Femur
Fetuses
title EP01.05: Prenatal estimation of fetal femur bone mineral density using an artificial intelligence‐based algorithm and relationship with birthweight: a prospective validation study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T18%3A02%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=EP01.05:%20Prenatal%20estimation%20of%20fetal%20femur%20bone%20mineral%20density%20using%20an%20artificial%20intelligence%E2%80%90based%20algorithm%20and%20relationship%20with%20birthweight:%20a%20prospective%20validation%20study&rft.jtitle=Ultrasound%20in%20obstetrics%20&%20gynecology&rft.au=Dall'Asta,%20A.&rft.date=2024-09&rft.volume=64&rft.issue=S1&rft.spage=108&rft.epage=108&rft.pages=108-108&rft.issn=0960-7692&rft.eissn=1469-0705&rft_id=info:doi/10.1002/uog.28020&rft_dat=%3Cproquest_cross%3E3102048486%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3102048486&rft_id=info:pmid/&rfr_iscdi=true