Advancements in Urological Diagnostics: Emerging Technologies and Innovative Approaches
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 15
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue of Diagnostics highlights innovative progress and emerging technologies shaping the future of urological disease diagnosis. Accurate and timely diagnosis is paramount for improving patient outcomes across a wide spectrum of urological conditions, from malignancies and functional disorders to infections and congenital abnormalities. This collection seeks to showcase cutting-edge research that advances diagnostic modalities such as advanced imaging techniques, molecular and genetic biomarker discovery, artificial intelligence and machine learning applications, and novel minimally invasive procedures. By fostering interdisciplinary collaboration, this issue aims to provide clinicians, researchers, and healthcare professionals with comprehensive insights into state-of-the-art diagnostic tools and methodologies that enable earlier detection, improved risk stratification, and personalized treatment strategies. We invite the submission of high-quality original research and reviews that push the frontiers of urological diagnostics, ultimately contributing to enhanced patient care and scientific discovery in this dynamic field.
Dr. José Enrique Robles-García
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- urological diseases
- diagnostic imaging
- biomarkers
- molecular diagnostics
- prostate cancer diagnosis
- renal disease diagnosis
- artificial intelligence in urology
- noninvasive diagnostic techniques
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