Attention: Restrictions on use of AUA, AUAER, and UCF content in third party applications, including artificial intelligence technologies, such as large language models and generative AI.
You are prohibited from using or uploading content you accessed through this website into external applications, bots, software, or websites, including those using artificial intelligence technologies and infrastructure, including deep learning, machine learning and large language models and generative AI.

ARTIFICIAL INTELLIGENCE European Perspective on Importance of Artificial Intelligence Lectures and Sessions in Urology Meetings

By: Kari A. O. Tikkinen, MD, PhD, University of Helsinki and Helsinki University Hospital, Finland, South Karelian Central Hospital, Lappeenranta, Finland; Jochen Walz, MD, Institut Paoli-Calmettes Cancer Centre, Marseille, France | Posted on: 05 Jan 2024

Artificial intelligence (AI) encompasses a broad spectrum of technologies, including machine learning, natural language processing, and computer vision, which equip machines with the ability to learn, reason, and make decisions in a manner that mimics human cognition. AI is dedicated to developing systems and technologies that can execute tasks traditionally requiring human intellect.

In the world of urology, AI-focused lectures and workshops at professional gatherings are essential for disseminating knowledge, fostering collaboration, and advancing education. At the upcoming Annual Congress of the European Association of Urology (EAU) in Paris, France, next spring, the AI session will once again be a cornerstone of our congress program. For the fourth consecutive year, our thematic AI session is designed to empower urologists and other professionals to leverage AI’s capabilities to enhance patient care and drive innovation within the field.

To date, EAU Annual Congress AI sessions have covered several critical topics, such as:

  1. AI foundations in urology: introducing the core principles of AI and its specific applications in urology, providing a solid knowledge foundation for participants
  2. Imaging and diagnostics: discussing a breadth of subjects from computational imaging to renal mass imaging and the support AI offers in imaging and pathology
  3. AI in prostate cancer management: presenting AI’s utilization in diagnosing and treating prostate cancer, including screening, imaging, and Gleason grading
  4. Ethical and patient considerations: addressing ethical implications in AI use and considering patient viewpoints on AI, underscoring the necessity for responsible and patient-focused AI applications
  5. Standardization and reporting: emphasizing the need for standardizing AI/machine learning applications and the critical nature of transparent and accurate reporting of AI findings
  6. Surgical planning and guidance: exploring how AI, augmented reality, and robotics can assist in surgical planning, guidance, and implementation
  7. Challenges and limitations of AI: discussing the importance of recognizing the limitations of observational AI data and the instances when randomized trials are necessary for trustworthy evidence

In the forthcoming EAU24 congress, participants in the AI session will gain insights into:

  1. The role of AI in decision support, data analytics, and predictive tools
  2. The application of AI in diagnostic support, with a focus on imaging and pathology
  3. The integration of AI into surgical planning via augmented reality and robotics for improved surgical accuracy
  4. The specific functions of AI, particularly ChatGPT, in patient education and assistance
  5. The involvement of AI and ChatGPT in grant proposals, scientific publications, and conference presentations

Beyond the EAU meetings, we are delighted to observe an increasing presence of AI sessions also at numerous other urological conferences worldwide (Figures 1 and 2), such as the AUA Annual Meeting. AI’s significance is on the rise within urology and beyond, indicating that AI sessions are set to be a permanent feature at future EAU congresses.


Figure 1. Illustration generated by ChatGPT 4.0 with DALL·E 3 in response to a request for a figure to accompany the original title of this article (“Enhancing Urologists’ Knowledge: A European Perspective on the Importance of Artificial Intelligence Lectures and Sessions in Urology Meetings”).


Figure 2. Revised illustration (of Figure 1) generated by ChatGPT 4.0 with DALL·E 3, modified at the authors’ request to remove the uterus and ovaries, and instead, to emphasize the male urinary tract in the context of an artificial intelligence lecture at a urology conference.


ChatGPT with DALL·E 3 contributed to the drafting and revising of this manuscript.