Artificial intelligence in urological oncology: An update and future applications

Andrew Brodie; Nick Dai; Jeremy Yuen-Chun Teoh; Karel Decaestecker; Prokar Dasgupta; Nikhil Vasdev

doi:10.1016/j.urolonc.2021.03.012

Artificial intelligence in urological oncology: An update and future applications

Urol Oncol. 2021 Jul;39(7):379-399. doi: 10.1016/j.urolonc.2021.03.012. Epub 2021 May 20.

Authors

Andrew Brodie¹, Nick Dai¹, Jeremy Yuen-Chun Teoh², Karel Decaestecker³, Prokar Dasgupta⁴, Nikhil Vasdev⁵

Affiliations

¹ Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
² S.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
³ Department of Urology, Ghent University Hospital, Belgium.
⁴ Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
⁵ Hertfordshire and Bedfordshire Urological Cancer Centre, Department of Urology, Lister Hospital, Stevenage, United Kingdom; School of Medicine and Life Sciences, University of Hertfordshire, Hatfield, United Kingdom. Electronic address: [email protected].

PMID: 34024704
DOI: 10.1016/j.urolonc.2021.03.012

Abstract

There continues to be rapid developments and research in the field of Artificial Intelligence (AI) in Urological Oncology worldwide. In this review we discuss the basics of AI, application of AI per tumour group (Renal, Prostate and Bladder Cancer) and application of AI in Robotic Urological Surgery. We also discuss future applications of AI being developed with the benefits to patients with Urological Oncology.

Keywords: Applications; Artificial Intelligence; Urological Oncology.

Publication types

Review

MeSH terms

Artificial Intelligence*
Forecasting
Humans
Medical Oncology / methods
Medical Oncology / trends*
Urologic Neoplasms / surgery
Urologic Surgical Procedures / methods
Urologic Surgical Procedures / trends
Urology / methods
Urology / trends*