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AI in Early Detection and Diagnosis

Artificial intelligence (AI) is making significant strides in the early detection and diagnosis of cancer by using advanced technologies that can analyze vast amounts of data such as medical images, genetic information, and patient history. AI systems, particularly those integrated into radiology and pathology, can recognize patterns and anomalies with remarkable accuracy, often spotting early signs of cancer that may be too subtle for the human eye. This enhanced ability to detect tumors at their earliest stages means patients can receive prompt treatment, improving their chances of recovery and survival. Additionally, AI reduces diagnostic errors and improves the overall efficiency of the healthcare system, making cancer care more accessible and effective across the globe.

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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