Comparing guideline adherence and readability: Artificial intelligence with deep learning versus specialized physicians in peripheral artery disease management.
Saved in:
| Title: | Comparing guideline adherence and readability: Artificial intelligence with deep learning versus specialized physicians in peripheral artery disease management. |
|---|---|
| Authors: | Verastegui A; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico.; Department of Surgery, Mayo Clinic Florida, Jacksonville, FL, USA., Castaneda R; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico., Gómez-Gutiérrez OA; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico., Gonzalez-Urquijo M; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico.; Departamento de Cirugía Vascular y Endovascular, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., de la Torre O; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico., Herrera Vegas D; Centro de Estudios Médicos e Investigaciones Clínicas (CEMIC), Saavedra campus, Buenos Aires, Argentina., Ysa A; Department of Vascular Surgery, Hospital de Cruces, Barakaldo, Spain., García-Toca M; Division of Vascular Surgery and Endovascular Therapy, Grady Memorial Hospital, Atlanta, GA, USA., Fabiani MA; Tecnológico de Monterrey, School of Medicine and Health Sciences, Monterrey, Nuevo Leon, Mexico. |
| Corporate Authors: | International Cooperative Vascular Consortium |
| Source: | Vascular medicine (London, England) [Vasc Med] 2026 Feb; Vol. 31 (1), pp. 70-78. Date of Electronic Publication: 2025 Dec 18. |
| Publication Type: | Journal Article; Comparative Study; Multicenter Study |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9610930 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0377 (Electronic) Linking ISSN: 1358863X NLM ISO Abbreviation: Vasc Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1477-0377 |
|---|---|
| DOI: | 10.1177/1358863X251386394 |
