European Conference on Interventional Oncology
ECIO countries

April 28 - May 1 | Palma de Mallorca, ES

April 28 - May 1 | Palma de Mallorca, ES

April 28 - May 1 | Palma de Mallorca, ES

April 28 - May 1 | Palma de Mallorca, ES

April 28 - May 1 | Palma de Mallorca, ES

ProgrammeHighlight topicsArtificial intelligence for interventional oncology

Artificial intelligence for interventional oncology

Three reasons to watch this session on demand

  1. Understanding the fundamentals of AI is crucial for healthcare professionals, including interventional oncologists. This session can provide essential knowledge about AI concepts, terminology, and its application in the field. This foundational understanding is essential for integrating AI tools into daily clinical practice.
  2. We will examine the crucial role of image repositories in advancing research in interventional oncology, gaining insights into how AI can utilize these repositories to enhance diagnostics, optimize treatment planning, and make more accurate outcome predictions.
  3. You will discover practical implementations of AI, encompassing natural language processing for analyzing data, refining patient selection, optimizing treatment planning, and managing clinical follow-up. You will acquire knowledge on validating AI algorithms in real clinical settings, ensuring their reliability and safety in real-world applications.

Dr. Fernando Gómez Muñoz
Moderator bio | Watch session

A journey to unleash the power of AI in interventional oncology

In the rapidly evolving landscape of healthcare, AI is revolutionizing the way we approach interventional oncology. Our upcoming session is intended to provide an immersive exploration into the forefront of this transformation, offering a programme designed to give interventional oncologists the essential knowledge and tools for embracing the future of a big part of our field. The session is divided into 6 lectures by 6 leaders and experts in the field of AI:

AI basics: what the IO should know

Intended to master the fundamentals of AI. This session will provide a general overview of AI basics, ensuring that IOs gain a solid understanding of key concepts and terminology. he information provided in this segment lays the foundation for IOs, acting as a crucial gateway to facilitate the seamless integration of AI into their everyday clinical practice. Whether you are a seasoned professional or new to the field, this session will empower you with the essential insights needed to navigate the AI landscape confidently.

The role of image repositories for research on interventional oncology

Focused on the pivotal role of image repositories in driving research breakthroughs in interventional oncology. Uncover how AI leverages these repositories to elevate diagnostics, refine treatment planning, and predict outcomes. By understanding the synergy between AI and image repositories, IOs will be equipped to harness these resources effectively, propelling their research endeavours to new heights.

Natural language processing (NLP) in interventional oncology

Projected to show how AI-driven NLP can revolutionize data analysis, providing unparalleled insights into patient records, medical texts, and reports. This session will expose the practical applications of NLP in refining patient selection, optimizing treatment planning, and streamlining clinical follow-up processes.

Artificial intelligence in patient selection and treatment planning in interventional oncology

AI takes a center stage in patient selection and treatment planning. AI algorithms can analyze complex data sets to tailor interventions, ensuring personalized and optimized treatment plans. This segment will showcase real-world applications, demonstrating the manner AI-driven insights can enhance decision-making processes and contribute to improved patient outcomes.

Artificial intelligence in clinical and imaging follow up

The seamless integration of AI in clinical and imaging follow-up is capital to improve and redefine the continuum of care in interventional oncology. AI technologies contribute to enhance monitoring, early detection of complications, and more precise post-treatment assessments. This session will provide IOs with insights into how AI ensures a comprehensive and proactive approach to patient follow-up.

Validation of artificial intelligence algorithms in clinical practice

Prepared to ensure confidence in the application of AI algorithms in clinical practice. Understand the rigorous processes and methodologies involved in validating AI algorithms, guaranteeing their reliability and safety in real-world scenarios. This segment will invest IOs with the knowledge needed to critically evaluate and adopt AI technologies, fostering a culture of evidence-based and trustworthy AI applications in interventional oncology.

Don’t miss the opportunity to be at the forefront of the AI revolution in interventional oncology! Join us for a transformative session that promises to elevate your understanding, skills, and confidence in integrating AI into your practice!


Fernando Gómez Muñoz

Hospital Universitario y Politécnico La Fe/Antoni van Leeuwenhoek-NKI, Valencia/ES, Amsterdam/NL

Dr. Fernando Gómez Muñoz serves as a senior consultant at Hospital Universitario y Politécnico La Fe (Valencia) and the Netherlands Cancer Institute (Amsterdam) specializing in adult and pediatric interventional radiology with a primary focus on interventional oncology and vascular anomalies. He is a member of the Scientiffic Committe of the Spanish Society of interventional Radiology (SERVEI). Actively engaged in Artificial Intelligence (AI) research, he plays a crucial role as one of the coordinators of the Interventional Radiology Research Environment within the European Cancer Imaging Initiative (EUCAIM). Dr. Gómez Muñoz is recognized as a CIRSE Fellow and a member of the CIRSE Research Committee. Additionally, he holds the position of co-chair for the CIRSE AI Task Force and is a member of the Pediatric Interventional Radiology Task Force.