Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.
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| Title: | Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data. |
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| Authors: | Anania G; Department of Medical Science, University of Ferrara, Ferrara, FE, Italy., Mascagni P; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, RM, Italy.; Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France., Chiozza M; Department of Medical Science, University of Ferrara, Ferrara, FE, Italy., Resta G; Department of Medical Science, University of Ferrara, Ferrara, FE, Italy., Campagnaro A; Department of Medical Science, University of Ferrara, Ferrara, FE, Italy. alberto.campagnaro@unife.it., Pedon S; Department of Medical Science, University of Ferrara, Ferrara, FE, Italy., Silecchia G; Department of Scienze Medico Chirurgiche e Medicina Traslazionale, University of Roma S. Andrea University Hospital, Rome, RM, Italy., Cuccurullo D; Division of Laparoscopic and Robotic Surgery Unit, A.O.R.N. dei Colli Monaldi Hospital, Naples, NA, Italy., Bergamini C; Department of Emergency Surgery, University Hospital of Careggi, Florence, FI, Italy., Sica G; Minimally Invasive Unit, Department of Surgical Science, University Tor Vergata, Rome, RM, Italy.; Department of Surgical Science, Policlinico Tor Vergata - University Tor Vergata, Rome, RM, Italy., Nicola V; Department of Mathematics and Informatics, University of Ferrara, Ferrara, FE, Italy., Alberti M; Department of Mathematics and Informatics, University of Ferrara, Ferrara, FE, Italy., Ortenzi M; Department of General Surgery, Università Politecnica delle Marche, Ancona, AN, Italy., Reddavid R; Division of Surgical Oncology and Digestive Surgery, Department of Oncology, San Luigi University Hospital, University of Turin, Orbassano, Turin, TN, Italy., Azzolina D; Biostatistics and Clinical Trial Methodology Unit, Clinical Research Center DEMeTra, Department of Translational Medicine, University of Naples Federico II, Naples, Italy. |
| Corporate Authors: | SICE CoDIG (ColonDx Italian Group) |
| Source: | Techniques in coloproctology [Tech Coloproctol] 2025 Jun 11; Vol. 29 (1), pp. 135. Date of Electronic Publication: 2025 Jun 11. |
| Publication Type: | Journal Article; Multicenter Study; Observational Study |
| Journal Info: | Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 9613614 Publication Model: Electronic Cited Medium: Internet ISSN: 1128-045X (Electronic) Linking ISSN: 11236337 NLM ISO Abbreviation: Tech Coloproctol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1128-045X |
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| DOI: | 10.1007/s10151-025-03165-9 |
