Breast cancer is the most common cancer in women overall and the fifth leading cause of cancer mortality worldwide (1). Artificial Intelligence (AI) plays a prominent role, providing the necessary tools for the development of predictive models crucial to support the decision-making process of the involved clinicians. Early detection and characterization of cancer are of utmost importance in reducing breast cancer mortality and improving clinical outcome and life quality. In this scenario, the ability to have AI-based predictive models that can provide clues as to the location of the tumor will allow to address the disease when it is still in its early stages of development and, potentially, allow clinicians to make decisive and more conservative interventions for the patient.

AI Applied to Breast Cancer: Early Detection and Explainable Predictive Models as the Basis of Precision Medicine

Militello C.
Primo
2025

Abstract

Breast cancer is the most common cancer in women overall and the fifth leading cause of cancer mortality worldwide (1). Artificial Intelligence (AI) plays a prominent role, providing the necessary tools for the development of predictive models crucial to support the decision-making process of the involved clinicians. Early detection and characterization of cancer are of utmost importance in reducing breast cancer mortality and improving clinical outcome and life quality. In this scenario, the ability to have AI-based predictive models that can provide clues as to the location of the tumor will allow to address the disease when it is still in its early stages of development and, potentially, allow clinicians to make decisive and more conservative interventions for the patient.
2025
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Palermo
Breast Cancer
Artificial Intelligence
Early Detection
Explainable Predictive Models
Precision Medicine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/536051
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