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A machine learning predictive model for recurrence of resected distal cholangiocarcinoma: Development and validation of predictive model using artificial intelligence.
Perez M, Palnaes Hansen C, Burdio F, Sanchez-Velázquez P, Giuliani A, Lancellotti F, de Liguori-Carino N, Malleo G, Marchegiani G, Podda M, Pisanu A, De Luca GM, Anselmo A, Siragusa L, Kobbelgaard Burgdorf S, Tschuor C, Cacciaguerra AB, Koh YX, Masuda Y, Hao Xuan MY, Seeger N, Breitenstein S, Grochola FL, Di Martino M, Secanella L, Busquets J, Dorcaratto D, Mora-Oliver I, Ingallinella S, Salvia R, Abu Hilal M, Aldrighetti L, Ielpo B. Perez M, et al. Among authors: giuliani a. Eur J Surg Oncol. 2024 May 9;50(7):108375. doi: 10.1016/j.ejso.2024.108375. Online ahead of print. Eur J Surg Oncol. 2024. PMID: 38795677
Intraoperative left-sided colorectal anastomotic testing in clinical practice: a multi-treatment machine-learning analysis of the iCral3 prospective cohort.
Catarci M, Guadagni S, Masedu F, Guercioni G, Ruffo G, Viola MG, Borghi F, Scatizzi M, Patriti A, Baiocchi GL; Italian ColoRectal Anastomotic Leakage (iCral) study group. Catarci M, et al. Updates Surg. 2024 May 20. doi: 10.1007/s13304-024-01883-7. Online ahead of print. Updates Surg. 2024. PMID: 38767835
The pan - COVID - AGICT study. The impact of COVID-19 pandemic on surgically treated pancreatic cancer patients. A multicentric Italian study.
Dorma MPF, Giuliani G, Guerra F, Santelli F, Esposito A, De Pastena M, Turri G, Pedrazzani C, Kauffmann EF, Boggi U, Solaini L, Ercolani G, Mastrangelo L, Jovine E, Di Franco G, Morelli L, Mazzola M, Ferrari G, Langella S, Ferrero A, La Mendola R, Abu Hilal M, Depalma N, D'Ugo S, Spampinato MG, Frisini M, Brolese A, Palaia R, Belli A, Cillara N, Deserra A, Cannavera A, Sagnotta A, Mancini S, Pinotti E, Montuori M, Coppola A, Di Benedetto F, Coratti A; COVID-AGICT Collaborative Group. Dorma MPF, et al. Surg Oncol. 2024 Jun;54:102081. doi: 10.1016/j.suronc.2024.102081. Epub 2024 Apr 26. Surg Oncol. 2024. PMID: 38729088
A study protocol for identifying aging trajectories toward chronic neurodegenerative diseases by means of Marche regional administrative databases - TREND project.
Spazzafumo L, Sabbatinelli J, Biscetti L, Balducci F, Lilla M, Ramini D, Giuliani A, Paciello L, Rupelli G, Pompili M, Pelliccioni G, Recchioni R, Olivieri F. Spazzafumo L, et al. Among authors: giuliani a. Front Public Health. 2024 Apr 23;12:1354538. doi: 10.3389/fpubh.2024.1354538. eCollection 2024. Front Public Health. 2024. PMID: 38716242 Free PMC article.
1,205 results