Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance.
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| Title: | Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance. |
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| Authors: | Boitano LT; UMass Chan Medical School, Worcester, MA. Electronic address: lboitano@mgb.org., Brown S; UMass Chan Medical School, Worcester, MA., O'Neil L; UMass Chan Medical School, Worcester, MA., O'Connell L; UMass Chan Medical School, Worcester, MA., Okuhn S; VA San Francisco Healthcare System; San Francisco, CA; Illuminate, Overland Park, KS., Chute DF; UMass Chan Medical School, Worcester, MA., Fan EY; UMass Chan Medical School, Worcester, MA., Finnesgard E; UMass Chan Medical School, Worcester, MA., Jones DW; UMass Chan Medical School, Worcester, MA., Simons JP; UMass Chan Medical School, Worcester, MA., Schanzer A; UMass Chan Medical School, Worcester, MA. |
| Source: | Journal of vascular surgery [J Vasc Surg] 2026 May 05. Date of Electronic Publication: 2026 May 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 8407742 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6809 (Electronic) Linking ISSN: 07415214 NLM ISO Abbreviation: J Vasc Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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