View in EDS

Quantum machine learning for predicting anastomotic leak: a clinical study.

Saved in:

Bibliographic Details
Title:	Quantum machine learning for predicting anastomotic leak: a clinical study.
Authors:	Novák V; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz., Zelinka I; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic., Přibylová L; Department of Applied Mathematics, Technical University of Ostrava, Ostrava, Czech Republic., Martínek L; Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.; Department of Surgery, University Hospital Ostrava, Ostrava, Czech Republic., Benčurik V; Surgical Department, Hospital AGEL Novy Jicin, Novy Jicin, Czech Republic.
Source:	Scientific reports [Sci Rep] 2026 May 19; Vol. 16 (1). Date of Electronic Publication: 2026 May 19.
Publication Type:	Clinical Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2045-2322
DOI:	10.1038/s41598-026-44402-x