An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators.
Saved in:
| Title: | An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators. |
|---|---|
| Authors: | Fer D; University of California, San Francisco-East Bay, General Surgery, Oakland, CA, USA.; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Zhang B; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Abukhalil R; Johnson & Johnson MedTech, New Brunswick, NJ, USA. rabukhal@its.jnj.com.; 5490 Great America Parkway, Santa Clara, CA, 95054, USA. rabukhal@its.jnj.com., Goel V; University of California, San Francisco-East Bay, General Surgery, Oakland, CA, USA.; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Goel B; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Barker J; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Kalesan B; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Barragan I; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Gaddis ML; Johnson & Johnson MedTech, New Brunswick, NJ, USA., Kilroy PG; Johnson & Johnson MedTech, New Brunswick, NJ, USA. |
| Source: | Surgical endoscopy [Surg Endosc] 2023 Jul; Vol. 37 (7), pp. 5665-5672. Date of Electronic Publication: 2023 Jan 19. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 8806653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2218 (Electronic) Linking ISSN: 09302794 NLM ISO Abbreviation: Surg Endosc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36658282 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fer+D%22">Fer D</searchLink>; University of California, San Francisco-East Bay, General Surgery, Oakland, CA, USA.; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+B%22">Zhang B</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Abukhalil+R%22">Abukhalil R</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA. rabukhal@its.jnj.com.; 5490 Great America Parkway, Santa Clara, CA, 95054, USA. rabukhal@its.jnj.com.<br /><searchLink fieldCode="AU" term="%22Goel+V%22">Goel V</searchLink>; University of California, San Francisco-East Bay, General Surgery, Oakland, CA, USA.; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Goel+B%22">Goel B</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Barker+J%22">Barker J</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Kalesan+B%22">Kalesan B</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Barragan+I%22">Barragan I</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Gaddis+ML%22">Gaddis ML</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Kilroy+PG%22">Kilroy PG</searchLink>; Johnson & Johnson MedTech, New Brunswick, NJ, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228806653%22">Surgical endoscopy</searchLink> [Surg Endosc] 2023 Jul; Vol. 37 (7), pp. 5665-5672. <i>Date of Electronic Publication: </i>2023 Jan 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8806653 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-2218 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209302794%22">09302794 </searchLink><i>NLM ISO Abbreviation: </i>Surg Endosc <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36658282 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00464-023-09870-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5665 Titles: – TitleFull: An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fer D – PersonEntity: Name: NameFull: Zhang B – PersonEntity: Name: NameFull: Abukhalil R – PersonEntity: Name: NameFull: Goel V – PersonEntity: Name: NameFull: Goel B – PersonEntity: Name: NameFull: Barker J – PersonEntity: Name: NameFull: Kalesan B – PersonEntity: Name: NameFull: Barragan I – PersonEntity: Name: NameFull: Gaddis ML – PersonEntity: Name: NameFull: Kilroy PG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2023 Jul Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1432-2218 Numbering: – Type: volume Value: 37 – Type: issue Value: 7 Titles: – TitleFull: Surgical endoscopy Type: main |
| ResultId | 1 |