An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators.
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| Title: | An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators. |
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| 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 |
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| ISSN: | 1432-2218 |
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| DOI: | 10.1007/s00464-023-09870-6 |
