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Advances in the Clinical Management of Urological Cancers

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nephrology & Urology".

Deadline for manuscript submissions: 25 October 2026 | Viewed by 810

Editors


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Guest Editor
1st Department of Urology, Metropolitan General Athens, 15562 Athens, Greece
Interests: urological cancers; prostate cancer; urothelial cancer; kidney cancer; advances in diagnosis; advances in treatment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor Assistant
1st Department of Urology, Metropolitan General Athens, 15562 Athens, Greece
Interests: urological cancers; prostate cancer; urothelial cancer; kidney cancer; advances in diagnosis; advances in treatment

Special Issue Information

Dear Colleagues,

Over the last decade, numerous novel technologies have emerged in the field of urologic surgical oncology. Artificial intelligence and radiomics have facilitated prompt diagnosis of urological malignancies and reduced the likelihood of overdiagnosis. Multidisciplinary assessment from specialized clinicians, such as urologists and oncologists, can ensure personalised care whilst also considering patients’ quality of life.

At the same time, advancements in robotic surgery have revolutionized the treatment of urological cancers by providing effective oncological and functional outcomes while minimizing morbidity. Furthermore, three-dimensional models have greatly improved preoperative and intraoperative surgical planning for precise tumour excision, allowing surgeons to preserve as much healthy tissue as possible.

This Special Issue aims to present and disseminate recent Advances in the Clinical Management of Urological Cancers.

We are seeking original studies and reviews that address new technologies and developments used for the diagnosis and treatment of urological cancers.

Potential topics include (but are not limited to) using artificial intelligence to diagnose urological cancers; radiomics and machine learning systems for diagnostic evaluation of urological cancer patients; developments in robotic surgery for urological malignancies; and three-dimensional modeling for urological tumours.

Dr. Athanasios Kostakopoulos
Guest Editor

Dr. Nikolaos Kostakopoulos
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urological cancers
  • prostate cancer
  • urothelial cancer
  • kidney cancer
  • advances in diagnosis
  • advances in treatment

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Published Papers (1 paper)

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Review

17 pages, 1641 KB  
Review
Advancing Genitourinary Cancer Surgery: The Role of Artificial Intelligence and Robotics
by Stamatios Katsimperis, Nikolaos Kostakopoulos, Themistoklis Bellos, Theodoros Spinos, Angelis Peteinaris, Lazaros Tzelves, Athanasios Kostakopoulos and Andreas Skolarikos
J. Clin. Med. 2026, 15(10), 3856; https://doi.org/10.3390/jcm15103856 - 17 May 2026
Cited by 1 | Viewed by 597
Abstract
The convergence of artificial intelligence and robotic surgery is redefining the management of genitourinary cancers by enhancing diagnostic accuracy, surgical precision, and training efficiency. This narrative review explores recent advancements in artificial intelligence applications across the cancer care continuum, with a focus on [...] Read more.
The convergence of artificial intelligence and robotic surgery is redefining the management of genitourinary cancers by enhancing diagnostic accuracy, surgical precision, and training efficiency. This narrative review explores recent advancements in artificial intelligence applications across the cancer care continuum, with a focus on prostate, kidney, and bladder malignancies. Artificial intelligence tools, particularly those based on machine learning and deep learning, have demonstrated strong performance in analyzing imaging data, segmenting tumors, predicting pathological features, and supporting clinical decision-making. Intraoperatively, artificial intelligence enables skill assessment, personalized feedback, and real-time navigation by processing data from surgical videos and robotic system sensors. Augmented reality and intraoperative modeling further enhance visualization and margin control during complex procedures. The review also discusses emerging technologies such as single-port robotic platforms, which offer advantages in confined anatomical spaces and support less invasive approaches. Additionally, the growing field of telesurgery is addressed, highlighting its feasibility for complex urologic operations across vast distances. While many of these innovations are still in early stages of clinical validation, their integration into practice has the potential to improve oncologic and functional outcomes, expand access to expert care, and foster the development of next-generation surgical strategies in urologic oncology. Full article
(This article belongs to the Special Issue Advances in the Clinical Management of Urological Cancers)
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