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Role of Artificial Intelligence in Cancer Diagnostics

Artificial intelligence (AI) is revolutionizing cancer diagnostics by enabling faster, more accurate detection of cancer in medical imaging. AI-powered algorithms can analyze imaging data from X-rays, MRIs, CT scans, and biopsies to identify patterns that indicate the presence of cancer, often with greater precision than human clinicians. These algorithms can also assess genetic data, enabling AI to predict a patient’s risk of developing cancer and help in the design of personalized prevention strategies. By improving diagnostic accuracy and efficiency, AI not only reduces the time needed to identify cancers but also enhances early intervention, ultimately leading to better patient outcomes and more effective treatment planning.

Committee Members
Speaker at International Conference on Clinical & Translational Oncology 2026 - Yan Leyfman

Yan Leyfman

NYP- Meyer Cancer Center, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
ICTO 2026 Speakers
Speaker at International Conference on Clinical & Translational Oncology 2026 - Pietro Salvatori

Pietro Salvatori

Formerly, Humanitas San Pio X Hospital, Italy
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
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 - Nayara Delgado Andre

Nayara Delgado Andre

Federal University of São João del-Rei (UFSJ), Brazil
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