Literature DB >> 31712926

ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies.

Diamantis I Tsilimigras1, Rittal Mehta1, Timothy M Pawlik2.   

Abstract

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Year:  2019        PMID： 31712926     DOI： 10.1245/s10434-019-08068-2

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN： 1068-9265            Impact factor:   5.344


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  1 in total

1.  Trends in the Number of Lymph Nodes Evaluated Among Patients with Pancreatic Neuroendocrine Tumors in the United States: A Multi-Institutional and National Database Analysis.

Authors:  Kota Sahara; Diamantis I Tsilimigras; Rittal Mehta; Amika Moro; Anghela Z Paredes; Alexandra G Lopez-Aguiar; Flavio Rocha; Zaheer Kanji; Sharon Weber; Alexander Fisher; Ryan Fields; Bradley A Krasnick; Kamran Idrees; Paula M Smith; George A Poultsides; Eleftherios Makris; Cliff Cho; Megan Beems; Mary Dillhoff; Shishir K Maithel; Itaru Endo; Timothy M Pawlik
Journal:  Ann Surg Oncol       Date:  2019-12-14       Impact factor: 5.344
  1 in total
  1 in total

Review 1.  A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives.

Authors:  Athanasios G Pantelis; Georgios K Stravodimos; Dimitris P Lapatsanis
Journal:  Obes Surg       Date:  2021-07-15       Impact factor: 4.129
  1 in total

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