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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 Conference on Clinical & Translational Oncology 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Shinya Tajima

Shinya Tajima

National Hospital Organization Shizuoka Medical Centre, Japan
Speaker at International Conference on Clinical & Translational Oncology 2026 - Sergey Suchkov

Sergey Suchkov

N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
ICTO 2026 Speakers
Speaker at International Conference on Clinical & Translational Oncology 2026 - Manmohan Agrawal

Manmohan Agrawal

Pushpadi Cancer Care Centre, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Sabura Banu Urundai Meeran

Sabura Banu Urundai Meeran

Saveetha Engineering College, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Poulami Khan

Poulami Khan

Asutosh College, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Thomas J Webster

Thomas J Webster

Brown University, United States
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