Using artificial intelligence to find the optimal margin width in hepatectomy for colorectal cancer liver metastases Journal Article


Authors: Bertsimas, D.; Margonis, G. A.; Sujichantararat, S.; Boerner, T.; Ma, Y.; Wang, J.; Kamphues, C.; Sasaki, K.; Tang, S.; Gagniere, J.; Dupré, A.; Løes, I. M.; Wagner, D.; Stasinos, G.; Macher-Beer, A.; Burkhart, Ri.; Morioka, D.; Imai, K.; Ardiles, V.; O'Connor, J. M.; Pawlik, T. M.; Poultsides, G.; Seeliger, H.; Beyer, K.; Kaczirek, K.; Kornprat, P.; Aucejo, F. N.; de Santibañes, E.; Baba, H.; Endo, I.; Lønning, P. E.; Kreis, M. E.; Weiss, M. J.; Wolfgang, C. L.; D’Angelica, M.
Article Title: Using artificial intelligence to find the optimal margin width in hepatectomy for colorectal cancer liver metastases
Journal Title: JAMA Surgery
Volume: 157
Issue: 8
ISSN: 2168-6254
Publisher: American Medical Association  
Date Published: 2022-08-01
Start Page: e221819
Language: English
DOI: 10.1001/jamasurg.2022.1819
PROVIDER: EBSCOhost
PROVIDER: cinahl
PMCID: PMC9161118
PUBMED: 35648428
DOI/URL:
Notes: Accession Number: 158484302 -- Entry Date: 20220817 -- Revision Date: 20220831 -- Publication Type: Article -- Journal Subset: Biomedical; USA -- NLM UID: 101589553. -- Source: Cinahl
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Thomas Boerner
    71 Boerner