Description

Cancer’s persistent global impact drives continuous innovation in diagnosis and treatment. This workshop explores the transformative potential of artificial intelligence (AI), medical ultrasound, and surgical robotics in oncology, focusing on how these technologies enhance diagnostic precision, enable minimally invasive procedures, and ultimately improve patient outcomes. By uniting experts, clinicians, researchers, and students, the workshop fosters interdisciplinary collaboration and showcases the revolution these advancements bring to cancer care. The workshop aims to provide participants with up-to-date knowledge of the latest advancements in AI, ultrasound, and robotic surgery for cancer diagnosis and treatment. Attendees will explore clinical applications, learn emerging trends, and understand how integrating these technologies can improve precision, reduce recovery times, and enhance patient outcomes. This overview offers valuable insights into the current state and future direction of these critical areas.

Key focus areas include the application of AI, specifically machine learning and deep learning, to improve early cancer detection, diagnostic accuracy, and personalized treatment planning. The workshop will also highlight innovations in medical ultrasound, such as elastography, contrast-enhanced ultrasound, and 3D imaging, for enhanced tumor detection and biopsy guidance. Furthermore, it will discuss surgical robotics technologies, including systems like the da Vinci robot, and the integration of AI to enhance surgical precision, minimize invasiveness, and accelerate patient recovery. Real-world case studies will demonstrate the synergistic potential of integrating AI, ultrasound, and robotics for comprehensive cancer care.

The “Student Rapid-Fire Presentation is a crucial element ” session provides a platform for aspiring researchers to present their innovative ideas concisely and engagingly. This initiative encourages student participation, showcases emerging talent, and stimulates discussion on new perspectives in cancer care technologies. The workshop targets a diverse audience, including oncologists, surgeons, radiologists, researchers and students in AI, medical imaging, and robotics. This diverse participation is essential for fostering interdisciplinary collaboration and driving innovation.

Programme

The programme will be published in May.

Learning Outcomes

This workshop offers a comprehensive exploration of cutting-edge technologies in cancer care, focusing on AI, medical ultrasound, and surgical robotics. It’s structured around four key components: Expert Presentations: Leading experts in AI, medical ultrasound, and surgical robotics will showcase their latest advancements, detailing the underlying technologies and their practical applications in oncology. These presentations will provide an in-depth look at emerging trends and innovations with the potential to improve cancer diagnosis and treatment outcomes.
Interdisciplinary Exchange: The workshop fosters knowledge sharing among healthcare professionals, engineers, and researchers. Each presentation will include a dedicated Q&A session, encouraging participants to ask questions, share concerns, and engage in meaningful discussions with experts from diverse fields. Networking opportunities will further facilitate collaboration among attendees.
Student Contributions: A dedicated “Student Rapid-Fire Presentation” will provide a platform for aspiring researchers to showcase their ideas and projects through short, engaging presentations. This offers students a valuable opportunity to contribute to the discussion and receive feedback from leading experts.

Strategic Roundtable: The workshop will conclude with a roundtable discussion to reflect on key insights, identify challenges in integrating these technologies into clinical practice, and brainstorm future directions for AI, ultrasound, and robotic solutions in cancer diagnosis and treatment.