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

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Bibliographic Details
Title: Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial.
Authors: Liu Y; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Khetrapal P; Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, United Kingdom., Strafford R; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Hadjivasilou A; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Vasdev N; Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital, Stevenage and School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom., Charlesworth P; Royal Marsden NHS Foundation Trust, London, United Kingdom., Khan MS; Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom., Abdulaal A; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Dong Z; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Catto JWF; Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, United Kingdom., Zhou Y; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833., Kelly JD; Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, United Kingdom., Drobnjak I; Centre for Artificial Intelligence, Department of Computer Science, University College London, 1st Floor, 90 High Holborn, London, WC1V 6LJ, United Kingdom, 44 07939274833.
Source: JMIR AI [JMIR AI] 2026 May 20; Vol. 5, pp. e68994. Date of Electronic Publication: 2026 May 20.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918645789006676 Publication Model: Electronic Cited Medium: Internet ISSN: 2817-1705 (Electronic) Linking ISSN: 28171705 NLM ISO Abbreviation: JMIR AI Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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