Medical Technologies

IURES 2026 Conference Discusses Artificial Intelligence and Robotics in Urological Surgery

The IURES 2026 Conference reviewed artificial intelligence, robotics and telemedicine technologies used or proposed to make urological surgeries more precise and personalized. Participants stressed that these tools do not eliminate the surgeon’s role, while data security, medical responsibility and infrastructure remain key challenges.

2026-10-18
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IURES 2026 Conference Discusses Artificial Intelligence and Robotics in Urological Surgery

The IURES 2026 Conference, organized by the International Urological Research Society (IURES) in Didim, in Turkey’s Aydın Province, discussed an accelerating trend toward integrating artificial intelligence, robotics and advanced imaging into urological surgery. Presentations focused on personalized surgical planning, intraoperative decision support and the possibility of performing surgery remotely.

Conference chairman Professor Burak Turna said fifth-generation robotic surgery goes beyond improving the movement of the surgeon’s hand, combining advanced imaging, surgical precision, haptic feedback and broader use of surgical data. He added that analyzing surgical images, anatomical structures and large quantities of data could in the future provide surgeons with an intraoperative decision-support tool.

From the Assistive Robot to Preoperative Planning

Discussions addressed focal treatments for prostate cancer, which target affected areas while seeking to preserve healthy tissue and surrounding anatomical structures in suitable patients. Professor Emre Huri also explained the concept of a “digital twin” of the patient, a three-dimensional model created from actual radiological images, such as computed tomography or magnetic resonance imaging, after DICOM files are processed and organs, vessels and tumors are algorithmically separated.

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This model allows the surgeon to examine the tumor’s relationship with blood vessels from multiple angles and virtually simulate surgical steps using virtual reality technologies. According to Huri’s presentation, simulation can help test cutting paths and the handling of tissues before touching the patient, with the aim of reducing surprises during surgery, without implying a guarantee of a specific clinical outcome.

Remote Surgery and Requirements for Expansion

Professor Murat Benbay said the next phase in urology includes remote surgery, single-port surgery, robotics and artificial-intelligence-supported decision-support systems. The importance of remote surgery lies in the possibility of bringing the expertise of advanced centers to areas lacking robotic surgical expertise, which could expand access to specialized treatment.

However, Benbay noted that the widespread clinical use of this technology requires addressing data security, defining responsibilities and providing the necessary infrastructure. These points are not minor operational details; they determine who is authorized to intervene, how patient data are protected and who bears responsibility when a connection or system failure occurs.

What Is Changing in Practice?

The framework presented at the conference is moving surgery from greater reliance on judgment and immediate experience toward a process supported by three-dimensional models, data and intraoperative analysis. Future concepts include systems that recognize anatomical structures, alert the surgeon when approaching critical areas and respond to voice commands.

Nevertheless, Professor Fatih Atug stressed that the robot does not perform the operation by itself, and that the surgeon’s experience, patient selection and the technique used are decisive factors. According to his presentation, the benefits of robotic surgery may include smaller incisions, less blood loss, a reduced need for blood transfusions and shorter hospital stays compared with open surgery, but these advantages cannot be attributed to the device alone.

The conference also addressed the role of multiparametric magnetic resonance imaging of the prostate in evaluating patients with elevated PSA, identifying suspicious areas and guiding fusion biopsies combining magnetic resonance imaging and ultrasound. The application of these tools remains linked to patient selection, image interpretation and the expertise of medical teams, while the source provided no clinical data or quantitative comparative results proving the overall superiority of these technologies.

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What you need to know

The IURES 2026 conference discussed the use of artificial intelligence, robotics, advanced imaging, and telemedicine to support urological surgery, while emphasizing that the surgeon remains responsible for decision-making and execution. The article does not provide quantitative clinical data demonstrating that these technologies are broadly superior, while data security, infrastructure, and medical liability remain key challenges.

  • Artificial intelligence in urological surgery focuses on image and data analysis and intraoperative decision support.
  • A digital twin, built from radiological images and DICOM files, can help the surgeon examine the patient’s anatomy and virtually simulate surgical steps.
  • Telesurgery may enable advanced centers to extend their expertise to areas lacking robotic-surgery experience, but it requires infrastructure, data protection, and clearly defined responsibilities.
  • Participants emphasized that the robot does not perform the operation on its own, and that the surgeon’s expertise, patient selection, and choice of technique are decisive factors.
  • The conference addressed multiparametric magnetic resonance imaging of the prostate and MRI-ultrasound fusion-guided biopsies.
  • The source did not provide comparative clinical results or quantitative data demonstrating the broad superiority of these technologies.

FAQ

What is meant by a patient digital twin?

It is a three-dimensional model created from actual radiological images, such as computed tomography or magnetic resonance imaging, after DICOM files are processed and organs, vessels, and tumors are algorithmically segmented.

Does the robot perform the operation autonomously?

No. The conference stressed that the robot does not perform the operation on its own, and that the surgeon’s expertise, patient selection, and the technique used are decisive factors.

What are the main challenges of telesurgery?

The challenges include protecting patient data, defining responsibilities, providing infrastructure, and dealing with communication or system failures.

Has it been proven that these technologies are always better than open surgery?

No. The article does not provide clinical data or quantitative comparative results demonstrating broad superiority, and the potential benefits cannot be attributed to the device alone.

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