AI predicts breast cancer recurrence in 92.94% of patients, suggesting potential for improved management strategies.
Predicting cancer recurrence in patients with breast cancer is challenging. This study aimed to train and use an Artificial Intelligence (AI) model to predict breast cancer recurrence. The model successfully predicted recurrence versus no recurrence in 92.94% of patients. The three traits at presentation that correlated most to recurrence were positive ovarian status, negative human epidermal growth factor 2 receptor status, and negative estrogen receptor status. AI models can predict cancer recurrence and may become a useful tool in the management of cancer.
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Anand Shah (2025) studied this question.
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