Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alexandros Laios MD, PhD"'
Autor:
Konstantinos Pitsikakis MD, Diederick DeJong MBBCh, PhD, MSc, Konstantinos Kitsos-Kalyvianakis MD, Marios Evangelos Mamalis BA, MSc, Michela Quaranta MBChB, MRCOG, MD, Aishath Shavee MBChB, Alina Wahab MBChB, Amudha Thangavelu MBChB, MRCOG, MD, Timothy Broadhead MBChB, MRCOG, MD, David Nugent MBChB, MRCOG, MD, Evangelos Kalampokis BA, PhD, Alexandros Laios MD, PhD, Postdoc(Ox)
Publikováno v:
Cancer Control, Vol 31 (2024)
Background Cytoreductive surgery is critical for optimal tumor clearance in advanced epithelial ovarian cancer (EOC). Despite best efforts, some patients may experience R2 (>1 cm) resection, while others may not undergo surgery at all. We aimed to co
Externí odkaz:
https://doaj.org/article/18d2a09d9006480f9a0ce507d17a1dc6
Autor:
Alexandros Laios MD, PhD, PostDoc (Ox), Evangelos Kalampokis PhD, Marios Evangelos Mamalis BA, MSc, Constantine Tarabanis MD, David Nugent MBChB, MRCOG, PhD, Amudha Thangavelu MBChB, MRCOG, MD, Georgios Theophilou MBBS, MRCOG, MD, Diederick De Jong MBBCh, PhD, MSc
Publikováno v:
Cancer Control, Vol 30 (2023)
Introduction Contemporary efforts to predict surgical outcomes focus on the associations between traditional discrete surgical risk factors. We aimed to determine whether natural language processing (NLP) of unstructured operative notes improves the
Externí odkaz:
https://doaj.org/article/8bbf9c6b5cb74b6eae2a6deeb8dd1ceb
Autor:
Alexandros Laios MD, PhD, Angeliki Katsenou PhD, Yong Sheng Tan MBBS, Racheal Johnson MBChB, MRCOG, Mohamed Otify MBBCh, MRCOG, MSc, Angelika Kaufmann MBBS, MRCOG, PhD, Sarika Munot MBBS, Amudha Thangavelu MBChB, MRCOG, MD, Richard Hutson MBBS, MRCOG, MD, Tim Broadhead MBChB, MRCOG, Georgios Theophilou MBBS, MRCOG, MD, David Nugent MBChB, MRCOG, PhD, Diederick De Jong MBBCh, PhD, MSc
Publikováno v:
Cancer Control, Vol 28 (2021)
Introduction Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within lea
Externí odkaz:
https://doaj.org/article/ccc639714bb1408c8eb74fdc4be154b5