Development of Multicenter Deep Learning Models for Predicting Surgical Complexity and Surgical Site Infection in Abdominal Wall Reconstruction, a Pilot Study.
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| Title: | Development of Multicenter Deep Learning Models for Predicting Surgical Complexity and Surgical Site Infection in Abdominal Wall Reconstruction, a Pilot Study. |
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| Authors: | Lorenz WR; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Holland AM; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Sarac BA; Department of Plastic and Reconstructive Surgery, Ohio State University Wexner Medical Center, Columbus, OH, United States., Kerr SW; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Wilson HH; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Ayuso SA; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Murphy K; Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, United States., Scarola GT; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Mead BS; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Heniford BT; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States., Janis JE; Department of Plastic and Reconstructive Surgery, Ohio State University Wexner Medical Center, Columbus, OH, United States. |
| Source: | Journal of abdominal wall surgery : JAWS [J Abdom Wall Surg] 2025 Apr 14; Vol. 4, pp. 14371. Date of Electronic Publication: 2025 Apr 14 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Country of Publication: Switzerland NLM ID: 9918713888406676 Publication Model: eCollection Cited Medium: Internet ISSN: 2813-2092 (Electronic) Linking ISSN: 28132092 NLM ISO Abbreviation: J Abdom Wall Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40297249 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of Multicenter Deep Learning Models for Predicting Surgical Complexity and Surgical Site Infection in Abdominal Wall Reconstruction, a Pilot Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lorenz+WR%22">Lorenz WR</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Holland+AM%22">Holland AM</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Sarac+BA%22">Sarac BA</searchLink>; Department of Plastic and Reconstructive Surgery, Ohio State University Wexner Medical Center, Columbus, OH, United States.<br /><searchLink fieldCode="AU" term="%22Kerr+SW%22">Kerr SW</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Wilson+HH%22">Wilson HH</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Ayuso+SA%22">Ayuso SA</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Murphy+K%22">Murphy K</searchLink>; Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Scarola+GT%22">Scarola GT</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Mead+BS%22">Mead BS</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Heniford+BT%22">Heniford BT</searchLink>; Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, United States.<br /><searchLink fieldCode="AU" term="%22Janis+JE%22">Janis JE</searchLink>; Department of Plastic and Reconstructive Surgery, Ohio State University Wexner Medical Center, Columbus, OH, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918713888406676%22">Journal of abdominal wall surgery : JAWS</searchLink> [J Abdom Wall Surg] 2025 Apr 14; Vol. 4, pp. 14371. <i>Date of Electronic Publication: </i>2025 Apr 14 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers%22">Frontiers </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918713888406676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2813-2092 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2228132092%22">28132092 </searchLink><i>NLM ISO Abbreviation: </i>J Abdom Wall Surg <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40297249 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/jaws.2025.14371 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 14371 Titles: – TitleFull: Development of Multicenter Deep Learning Models for Predicting Surgical Complexity and Surgical Site Infection in Abdominal Wall Reconstruction, a Pilot Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lorenz WR – PersonEntity: Name: NameFull: Holland AM – PersonEntity: Name: NameFull: Sarac BA – PersonEntity: Name: NameFull: Kerr SW – PersonEntity: Name: NameFull: Wilson HH – PersonEntity: Name: NameFull: Ayuso SA – PersonEntity: Name: NameFull: Murphy K – PersonEntity: Name: NameFull: Scarola GT – PersonEntity: Name: NameFull: Mead BS – PersonEntity: Name: NameFull: Heniford BT – PersonEntity: Name: NameFull: Janis JE IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 04 Text: 2025 Apr 14 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2813-2092 Numbering: – Type: volume Value: 4 Titles: – TitleFull: Journal of abdominal wall surgery : JAWS Type: main |
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