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Training an Artificial Intelligence Model to Predict Breast Cancer Recurrence

Year: 2025
Type: article
Abstract: 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.
Author: Avi Shah
Language: English
Open Access status: diamond
OpenAlex ID: W4413565069
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