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Artificial intelligence for cancer screening and surveillance
1Department of Experimental and Clinical Medicine, University Magna Graecia, Catanzaro, Italy.
ESMO Real World Data and Digital Oncology
|February 6, 2026
Summary
Artificial intelligence (AI) advances cancer prevention by profiling individual risk over time, enabling earlier diagnosis and personalized treatments. Addressing implementation challenges is key to realizing AI
Area of Science:
- Oncology
- Biomedical Informatics
- Preventive Medicine
Background:
- Cancer prevention requires significant healthcare system changes and individual risk assessment.
- Artificial intelligence (AI) is revolutionizing data analysis for identifying predictive cancer markers.
Purpose of the Study:
- To explore the potential of AI in advancing cancer prevention strategies.
- To highlight the transition from general lifestyle recommendations to individualized risk-based treatments.
Main Methods:
- Development of predictive models using AI for analyzing circulating markers.
- Application of AI to less invasive and repeatable analytic tests for risk profiling.
Main Results:
- AI enables dynamic, individual risk profiling over time, moving beyond static risk assignment.
- Predictive models enhance early cancer diagnosis probability.
- Proactive preventive medicine shifts towards guiding specific risk-reducing treatments.
Conclusions:
- AI-driven predictive models promise more effective and personalized cancer prevention.
- Clinical implementation challenges for AI in cancer prevention must be addressed.
- Overcoming these challenges is vital to reduce the future burden of cancer.
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