321 The Use of AI in Pediatric Congenital Heart Disease: How Far Have We Come?
OBJECTIVES/GOALS: Artificial Intelligence (AI) is gaining popularity in a variety of disciplines. While clinical applications for AI have increased in recent years, the use of AI in pediatric congenital heart disease (CHD) is limited. The goal of this systematic review was to assess how AI is curren...
Uloženo v:
| Vydáno v: | Journal of clinical and translational science Ročník 8; číslo s1; s. 99 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cambridge
Cambridge University Press
01.04.2024
|
| Témata: | |
| ISSN: | 2059-8661, 2059-8661 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | OBJECTIVES/GOALS: Artificial Intelligence (AI) is gaining popularity in a variety of disciplines. While clinical applications for AI have increased in recent years, the use of AI in pediatric congenital heart disease (CHD) is limited. The goal of this systematic review was to assess how AI is currently used in this patient population and to describe knowledge gaps. METHODS/STUDY POPULATION: A systematic search was performed up to July 2023 using PubMed and Scopus databases and revealed 814 articles. Upon initial screening, 161 duplicates, 76 non-AI articles, and an additional 318 irrelevant articles were removed. A total of 259 full-text articles were reviewed for relevance. Articles that did not include a retrospective or prospective review of human subject data were excluded. Articles that had only results in the adult, prenatal, or non-CHD population were excluded. The remaining 68 articles were included in this review. RESULTS/ANTICIPATED RESULTS: Of the 68 articles in this review, 19 were performed within cardiac surgery, 41 were within cardiology, and the remaining 8 included articles were combined cardiac surgery and cardiology. Upon initial review, 24 used AI for diagnostic purposes, 40 for predicting survival or adverse outcomes, 2 for developing training tools, and 2 for surveillance of CHD trends. We anticipate that upon further review of these 68 articles, there will be a wide variety in the types of AI models that were used. The results will reveal a multitude of challenges and limitations that future studies will need to further address. DISCUSSION/SIGNIFICANCE: While technical innovations in pediatric CHD have dramatically improved survival rates, we have hit a plateau in improving the complications of these patients. AI has created an opportunity to build new diagnostic, predictive, teaching, and surveillance tools for advancing CHD care, but it seems we still have a long way to go. |
|---|---|
| AbstractList | OBJECTIVES/GOALS: Artificial Intelligence (AI) is gaining popularity in a variety of disciplines. While clinical applications for AI have increased in recent years, the use of AI in pediatric congenital heart disease (CHD) is limited. The goal of this systematic review was to assess how AI is currently used in this patient population and to describe knowledge gaps. METHODS/STUDY POPULATION: A systematic search was performed up to July 2023 using PubMed and Scopus databases and revealed 814 articles. Upon initial screening, 161 duplicates, 76 non-AI articles, and an additional 318 irrelevant articles were removed. A total of 259 full-text articles were reviewed for relevance. Articles that did not include a retrospective or prospective review of human subject data were excluded. Articles that had only results in the adult, prenatal, or non-CHD population were excluded. The remaining 68 articles were included in this review. RESULTS/ANTICIPATED RESULTS: Of the 68 articles in this review, 19 were performed within cardiac surgery, 41 were within cardiology, and the remaining 8 included articles were combined cardiac surgery and cardiology. Upon initial review, 24 used AI for diagnostic purposes, 40 for predicting survival or adverse outcomes, 2 for developing training tools, and 2 for surveillance of CHD trends. We anticipate that upon further review of these 68 articles, there will be a wide variety in the types of AI models that were used. The results will reveal a multitude of challenges and limitations that future studies will need to further address. DISCUSSION/SIGNIFICANCE: While technical innovations in pediatric CHD have dramatically improved survival rates, we have hit a plateau in improving the complications of these patients. AI has created an opportunity to build new diagnostic, predictive, teaching, and surveillance tools for advancing CHD care, but it seems we still have a long way to go. |
| Author | Mehta, Rittal d'Udekem, Yves Venna, Alyssia Reitz, Justus Briscoe, Jessica |
| AuthorAffiliation | Children’s National Hospital |
| AuthorAffiliation_xml | – name: Children’s National Hospital |
| Author_xml | – sequence: 1 givenname: Alyssia surname: Venna fullname: Venna, Alyssia – sequence: 2 givenname: Rittal surname: Mehta fullname: Mehta, Rittal – sequence: 3 givenname: Justus surname: Reitz fullname: Reitz, Justus – sequence: 4 givenname: Jessica surname: Briscoe fullname: Briscoe, Jessica – sequence: 5 givenname: Yves surname: d'Udekem fullname: d'Udekem, Yves |
| BookMark | eNpVkU9PGzEQxa2KSqXArR_AUq9N6vGs908vCKWFREKUA4ijNbFng6NkTe0NVb89ToOqIh9sjZ9-b2beR3E0xIGF-ARqCgqar27MU610NdUdvBPHWplu0tY1HP33_iDOcl4rpaDVdY14LG5Qg7x7ZHmfWcZeXixkGOQt-0BjCk7O4rDiIYy0kXOmNMrvITNl_ibn8be8pCTn9MzygYtyy-en4n1Pm8xnr_eJuL_8cTebT65_Xi1mF9cTp7WBSd80hjrwCMb1vuqWrVpWmoC0QtVoclA533FFhKZiUw4wLiuFhD1ia_BELA5cH2ltn1LYUvpjIwX7txDTypZmg9uwxdq3DrzxqjgZ3XToa82mYd90rddVYZ0fWE-75Za942FMtHkDffszhEe7is8WQKHRbVcIn18JKf7acR7tOu7SUBZgsQxUFFjve_5yULkUc07c_7MAZfcR2hKh3UdoS4T4AqZnjRw |
| ContentType | Journal Article |
| Copyright | The Author(s), 2024. The Association for Clinical and Translational Science. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Association for Clinical and Translational Science 2024 2024 The Association for Clinical and Translational Science |
| Copyright_xml | – notice: The Author(s), 2024. The Association for Clinical and Translational Science. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Association for Clinical and Translational Science 2024 2024 The Association for Clinical and Translational Science |
| DBID | AAYXX CITATION 8FE 8FH AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M7P PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI 5PM DOA |
| DOI | 10.1017/cts.2024.291 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Natural Science Journals ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One ProQuest Central Korea ProQuest Central Student SciTech Premium Collection Biological Sciences Biological Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef ProQuest Central Student ProQuest Biological Science Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection Biological Science Database ProQuest SciTech Collection ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | ProQuest Central Student CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2059-8661 |
| EndPage | 99 |
| ExternalDocumentID | oai_doaj_org_article_36d8c1d5d0fd452793d62e57ed798d24 PMC11035289 10_1017_cts_2024_291 |
| GroupedDBID | 09C 09E 0R~ 8FE 8FH AABES AABWE AAGFV AAKTX AASVR AAYXX ABGDZ ABQTM ABROB ABVZP ABXHF ACAJB ACBEK ACDLN ACGFS ACUIJ ADAZD ADBBV ADDNB ADKIL ADOVH ADVJH AEBAK AEHGV AEMTJ AEYHU AFFHD AFKQG AFKRA AFLVW AFZFC AGABE AGJUD AHIPN AHQXX AHRGI AIGNW AIHIV AIOIP AJCYY AKMAY ALMA_UNASSIGNED_HOLDINGS ANPSP AQJOH ARCSS AUXHV AZGZS BBLKV BBNVY BCNDV BENPR BHPHI BLZWO BMAJL BRIRG CBIIA CCPQU CCQAD CFAFE CITATION CJCSC DOHLZ GROUPED_DOAJ HCIFZ HYE IKXGN IOEEP IPYYG JHPGK JKPOH JQKCU JVRFK KCGVB KFECR LK8 M7P M~E NIKVX OK1 PHGZM PHGZT PQGLB RCA ROL RPM S6U SAAAG T9M WFFJZ ZYDXJ AZQEC DWQXO GNUQQ PKEHL PQEST PQQKQ PQUKI 5PM |
| ID | FETCH-LOGICAL-c2251-f775a91d315cfd49b80b42a1a203072ac14cd9e4aa354e5e5e1e3b403a3f33853 |
| IEDL.DBID | DOA |
| ISSN | 2059-8661 |
| IngestDate | Tue Oct 14 19:03:52 EDT 2025 Tue Nov 04 02:05:43 EST 2025 Fri Jul 25 11:46:06 EDT 2025 Sat Nov 29 01:40:40 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | s1 |
| Language | English |
| License | https://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2251-f775a91d315cfd49b80b42a1a203072ac14cd9e4aa354e5e5e1e3b403a3f33853 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| OpenAccessLink | https://doaj.org/article/36d8c1d5d0fd452793d62e57ed798d24 |
| PQID | 3030893365 |
| PQPubID | 2046292 |
| PageCount | 1 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_36d8c1d5d0fd452793d62e57ed798d24 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11035289 proquest_journals_3030893365 crossref_primary_10_1017_cts_2024_291 |
| PublicationCentury | 2000 |
| PublicationDate | 20240401 |
| PublicationDateYYYYMMDD | 2024-04-01 |
| PublicationDate_xml | – month: 04 year: 2024 text: 20240401 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Cambridge |
| PublicationPlace_xml | – name: Cambridge – name: Cambridge, UK |
| PublicationTitle | Journal of clinical and translational science |
| PublicationYear | 2024 |
| Publisher | Cambridge University Press |
| Publisher_xml | – name: Cambridge University Press |
| SSID | ssj0001826633 |
| Score | 2.251414 |
| Snippet | OBJECTIVES/GOALS: Artificial Intelligence (AI) is gaining popularity in a variety of disciplines. While clinical applications for AI have increased in recent... |
| SourceID | doaj pubmedcentral proquest crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database |
| StartPage | 99 |
| SubjectTerms | Artificial intelligence Cardiology Cardiovascular disease Congenital diseases Heart diseases Heart surgery Informatics and Data Science Patients Pediatrics Population studies Surveillance Survival |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV05T8MwFLa4BhYOAaJc8gBjoL7imAVxVUVCFQMINsvxAR1ISlvg7_OcpEAWFpQtsRIn33t-h1--h9Ah2KDMOkeToAAG8MB5Al4CTyRYH0_zNDhbsevfysEge3pSd03CbdKUVc7WxGqhdqWNOfITFolVIPpOxdnoLYldo-LuatNCYx4tRpYEVpXu3f3kWMB3Thlr6t0jU7SdRopuyo-pIi1LVBH2t7zMdo3kL6PTW_3vdNfQSuNu4vNaPtbRnC820IBRgkE-8MPE4zLg8xs8LPB30w58WcYfrmI3EdwHRZjiq3oX5xT3y0_cM2PcNx8eP3oY-erPNtFD7_r-sp80fRUSC9pLkiClMIo4RoQNjqs86-acGmJo1HhqLOHWKc-NYYJ7AQfxLOddZliAiFawLbRQlIXfRpgEk6q8q0JOHHch5KllUmYi5FJCpJd10NHsG-tRTZ-h67oyqQELHbHQgEUHXUQAvsdE0uvqRDl-1o0OaZa6zBInXBdmLSisLC6lXkjvpMoc5R20N8NCN5o40T9AdFDWgrT1sPaVYvhSMW2DbxTZb9TO33feRcvxReqCnj20MB2_-320ZD-mw8n4oJLJL66n6co priority: 102 providerName: ProQuest |
| Title | 321 The Use of AI in Pediatric Congenital Heart Disease: How Far Have We Come? |
| URI | https://www.proquest.com/docview/3030893365 https://pubmed.ncbi.nlm.nih.gov/PMC11035289 https://doaj.org/article/36d8c1d5d0fd452793d62e57ed798d24 |
| Volume | 8 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAEN databaseName: Cambridge University Press Wholly Gold Open Access Journals customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: IKXGN dateStart: 20170201 isFulltext: true titleUrlDefault: http://journals.cambridge.org/action/login providerName: Cambridge University Press – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: DOA dateStart: 20170101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: M~E dateStart: 20160101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: M7P dateStart: 20170201 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: BENPR dateStart: 20170201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NS8NAEF1EPXgRRcVqLXvQY7T7lc16EVtbKkgpouht2ewH9mAqbdWbv93ZJEpz8iKBHJKFbN7MMG83kzcInUIOyqxzNAkKzAAMnCfAEngiIft4mqfB2VJd_06Ox9nzs5qstPqKNWGVPHAF3AVLXWaJE64bHBcU3Mml1AvpnVSZo6USKLCelcVUubsCrDllrK50jxrRdhnFuSk_p4o0clAp1d_gl83qyJV0M9xB2zVPxNfV_HbRmi_20JhRgsGw-HHh8Szg61s8LfBvtw3cn8U_pWIbEDwCD17im-rzyyUezT7x0MzxyHx4_ORh5Ku_2kePw8FDf5TUDRESC2FHkiClMIo4RoQFNFSedXNODTE0hio1lnDrlOfGMMG9gIN4lvMuMyzAUlSwA7RezAp_iDAJJlV5V4WcOO5CyFPLpMxEyKWEJVrWQmc_EOm3SvdCVwVhUgOUOkKpAcoW6kX8fsdEteryAthQ1zbUf9mwhdo_6Os6hBaaRSUdxVgqWihrWKTxsOadYvpSSmQDqYmyNeroP6Z3jLbi61b1Om20vpy_-xO0aT-W08W8gzZ6g_HkvlM6YCfWjk7i-WvwDbMc31c |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqFgkuBQSIhQI-0GNg_YpjpKrqa5VVl6hCrejNOH7AHkja3aVV_xS_kXEeLblw6wHllliJnW9mPGOPv0HoPcxBmXWOJkEBDOCB8wS8BJ5ImH08LdPgbMOuP5NFkZ2fq5M19Ls_CxPTKnub2BhqV9u4Rv6RRWIViL5TsXtxmcSqUXF3tS-h0YrFsb-5hpBtuTM9BHy3KZ0cnR7kSVdVILEguyQJUgqjiGNE2OC4KrNxyakhhkZ5p8YSbp3y3BgmuBdwEc9KPmaGBYjnYpUIMPkbnHEJerWxf1ScfLlb1QFvPWWsy7CP3NR2FUnBKf9AFRnMfU2JgIFfO8zK_Guamzz-337QE7TZOdR4r9WAp2jNV89QwSjBoAH4bOlxHfDeFM8rfFuWBB_U8UhZrJeCc-jyCh-2-1SfcF5f44lZ4NxcefzVQ8uffvc5OruXIbxA61Vd-ZcIk2BSVY5VKInjLoQytUzKTIRSSohlsxHa7jHVFy1BiG4z56QG7HXEXgP2I7QfAb9tE2m9mxv14rvurIRmqcssccKNodeCgu10KfVCeidV5igfoa0ee93ZmqW-A36EsoEIDT42fFLNfzRc4uD9RX4f9erfb36HHuann2d6Ni2OX6NHcVBt-tIWWl8tfvk36IG9Ws2Xi7edRmD07b5l7A909kaW |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB5VBSEuUASIpQ98oMfQ9SNxjISqtstqV61We6CiN-P4UfZA0u4urfhr_DrGebTkwq0HlFtiJXbm8zzs8TcA79EG5dY5lgSFYkAPXCToJYhEovXxrMiCszW7_pmczfKLCzXfgN_dWZiYVtnpxFpRu8rGNfIDHolVMPrO0oPQpkXMR-PDq-skVpCKO61dOY0GIqf-1y2Gb6tP0xHKep-x8ecvJ5OkrTCQWMQxTYKUqVHUcZra4IQq8mEhmKGGRewzY6mwTnlhDE-FT_GinhdiyA0PGNvFihGo_h_JSFpepw3O79d30G_POG9z7SNLtV1HenAmPjBFe1awLhbQ83D7-Zl_Gbzx8__5V23Bs9bNJkfNvHgBG758CTPOKMF5Qc5XnlSBHE3JoiR3xUrISRUPmsUqKmSCXV6TUbN79ZFMqlsyNksyMTeefPXY8oc_fAXnDzKE17BZVqV_A4QGk6liqEJBnXAhFJnlUuZpKKTECDcfwH4nX33V0IboJp9OasSBjjjQiIMBHEfh37WJZN_1jWp5qVvdoXnmcktd6obY65ShRnUZ86n0TqrcMTGAnQ4HutVAK30PggHkPTj1PtZ_Ui6-1wzj6BNG1h_19t9vfgdPEFj6bDo73YancUxNTtMObK6XP_0uPLY368VquVdPDQLfHhpgfwDkME4H |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=321+The+Use+of+AI+in+Pediatric+Congenital+Heart+Disease%3A+How+Far+Have+We+Come%3F&rft.jtitle=Journal+of+clinical+and+translational+science&rft.au=Alyssia+Venna&rft.au=Rittal+Mehta&rft.au=Justus+Reitz&rft.au=Jessica+Briscoe&rft.date=2024-04-01&rft.pub=Cambridge+University+Press&rft.eissn=2059-8661&rft.volume=8&rft.spage=99&rft.epage=99&rft_id=info:doi/10.1017%2Fcts.2024.291&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_36d8c1d5d0fd452793d62e57ed798d24 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2059-8661&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2059-8661&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2059-8661&client=summon |