The field of genitourinary (GU) surgery has undergone a transformative shift with the integration of robotic technology, which now serves as a cornerstone for minimally invasive procedures. Over recent decades, advancements have evolved from pioneering platforms like PUMA 560 and Probot to current industry standards, exemplified by the da Vinci system. Robotic approaches have been lauded for improved dexterity, enhanced visualization, and better ergonomics for surgeons, leading to increasing adoption. Despite their technical promise, clinical debates remain around appropriate patient selection, comparative benefits over other minimally invasive modalities, and the economic implications of broader deployment. Although early evidence points to advantages such as reduced blood loss and faster recovery, critical gaps persist, including inconsistent outcome definitions, limited long-term data, and a lack of standardized benchmarks for both clinical and technical success.
As the field matures, the focus is shifting toward defining the true clinical effectiveness of robotic interventions across diverse GU scenarios. The introduction of artificial intelligence, digital planning, and simulation is further complicating the landscape, demanding transparent performance benchmarks and robust clinical validation. Current research highlights positive trends but underscores inconsistencies in methodology, especially with respect to comparative studies, reporting standards, and assessment of next-generation digital capabilities. There is a clear unmet need to develop and apply reproducible frameworks for outcome measurement, comparative effectiveness, credentialing, and benchmarking clinical as well as technical endpoints. Additionally, equitable implementation, training, regulatory, and ethical considerations require dedicated scrutiny, especially as systems advance in autonomy and complexity.
This Research Topic aims to consolidate existing knowledge while setting clearer directions for demonstrating the clinical effectiveness of robotic technology in GU surgery. We seek interdisciplinary contributions that define clinically meaningful endpoints, propose benchmark-driven evaluation frameworks, and compare robotic interventions with current alternatives, both technologically and economically. By harmonizing expertise from surgeons, engineers, data scientists, policymakers, and educators, this Research Topic endeavors to foster responsible innovation, standardized reporting, and equitable adoption of robotic GU surgery globally.
This collection welcomes a broad spectrum of research, yet emphasizes articles that rigorously define outcomes, employ robust comparative designs, and present clinically validated innovations. To gather further insights into the clinical and technical boundaries of robotic GU surgery, we welcome articles addressing, but not limited to, the following themes:
• Standardization and benchmarking of intraoperative, perioperative, oncologic, functional, and patient-reported outcomes in robotic GU procedures; • Comparative effectiveness of robotic surgery versus laparoscopic, endoscopic, and other minimally invasive techniques, including health economic analyses and workforce impact; • Taxonomy-based evaluation of clinical scenarios, covering oncology, reconstructive, functional, pediatric, endoluminal, and female pelvic applications; • Clinical validation and workflow integration of digital augmentation technologies, such as AI, computer vision, simulation (digital twins), augmented reality, and surgical autonomy; • Training, credentialing, regulatory, ethical, equity, and governance frameworks addressing safety, proficiency, and implementation science across differing health systems;
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Clinical Trial
Data Report
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Mini Review
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.