AI & Digital Oncology
A forward-looking
session addressing the integration of artificial intelligence, machine
learning, and digital health technologies in oncology.
Topics include AI-powered imaging, predictive analytics, digital pathology,
and patient monitoring platforms.
Experts will discuss
ethical, regulatory, and data privacy concerns while highlighting real-world
applications of digital tools in diagnosis, treatment, and clinical
decision-making. This session aims to demystify AI and prepare oncologists for
the future of data-driven cancer care.
Subtracks:
- AI in Diagnostic Radiology and Pathology
- Predictive Analytics for Patient Outcomes
- Digital Twins and Virtual Patient Simulations
- Wearable and Remote Monitoring in Cancer Care
- Ethical AI Implementation in Oncology
- AI in Clinical Trial Design and Recruitment