Accessibility settings

This paper is in the following e-collection/theme issue:

Applications of AI (382) Telehealth and Telemonitoring (2256) Wearable Devices and Sensors (1243) Machine Learning (2306) Artificial Intelligence (2453)

Published on in Vol 5 (2026)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68994, first published .
Elderly man using a wearable device to track fitness data displayed as a holographic human body.

Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial

Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial

Authors of this article:

Yansong Liu1 Author Orcid Image ;   Pramit Khetrapal2 Author Orcid Image ;   Ronnie Strafford1 Author Orcid Image ;   Adamos Hadjivasilou1 Author Orcid Image ;   Nikhil Vasdev3 Author Orcid Image ;   Philip Charlesworth4 Author Orcid Image ;   Muhamaad Shamim Khan5 Author Orcid Image ;   Ahmed Abdulaal1 Author Orcid Image ;   Zhaoyan Dong1 Author Orcid Image ;   James W F Catto6 Author Orcid Image ;   Yukun Zhou1 Author Orcid Image ;   John D Kelly2 Author Orcid Image ;   Ivana Drobnjak1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yansong Liu   1 * , MPhil ;   Pramit Khetrapal   2 * , MD, PhD ;   Ronnie Strafford   1 , PhD ;   Adamos Hadjivasilou   1 , MPhil ;   Nikhil Vasdev   3 , Prof Dr, DSc ;   Philip Charlesworth   4 , PhD ;   Muhamaad Shamim Khan   5 , PhD ;   Ahmed Abdulaal   1 , PhD ;   Zhaoyan Dong   1 , BSc ;   James W F Catto   6 , Prof Dr Med ;   Yukun Zhou   1 , PhD ;   John D Kelly   2 , Prof Dr Med ;   Ivana Drobnjak   1 , Prof Dr

1 Centre for Artificial Intelligence, Department of Computer Science, University College London, London, United Kingdom

2 Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, United Kingdom

3 Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital, Stevenage and School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom

4 Royal Marsden NHS Foundation Trust, London, United Kingdom

5 Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom

6 Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Yansong Liu, MPhil
  • Centre for Artificial Intelligence, Department of Computer Science
  • University College London
  • 1st Floor, 90 High Holborn
  • London WC1V 6LJ
  • United Kingdom
  • Phone: 44 07939274833
  • Email: yansong.liu.18@ucl.ac.uk