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AI in Radiation and Surgical Oncology

In radiation and surgical oncology, AI is transforming how cancer treatments are delivered by providing advanced tools to optimize precision and effectiveness. AI is used to improve the planning and delivery of radiation therapy, ensuring that radiation is accurately targeted at cancerous tissues while minimizing damage to surrounding healthy tissues. Similarly, in surgical oncology, AI-powered robots and tools assist surgeons in performing minimally invasive procedures with higher precision. By analyzing data from imaging, AI can help predict tumor location and size, enabling more accurate excision. This integration of AI into oncology treatments reduces recovery times, lowers the risk of complications, and enhances the overall success of surgeries, ultimately leading to better patient outcomes.

Committee Members
Speaker at International Cancer Conference 2026 - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
Speaker at International Cancer Conference 2026 - Patricia Tai

Patricia Tai

UpToDate, Canada
Speaker at International Cancer Conference 2026 - Jose Manuel Cervera Grau

Jose Manuel Cervera Grau

Preclinical Lab and Computational Drug Discovery Program, Relayer Biotech Inc, Spain
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