Multimodal AI Model Predicts Breast Cancer Recurrence

An artificial intelligence model that incorporates a range of tumor and patient data proved significantly more accurate in retrospectively predicting breast cancer recurrence than a commonly used genomic test, suggesting that multimodal models could be leveraged to more accurately assess recurrence risk and guide patient care.

Publication Details

Journal
Cancer Discovery
Published
2025-12-26
DOI
https://doi.org/10.1158/2159-8290.cd-nw2025-0116
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Multimodal AI Model Predicts Breast Cancer Recurrence

Cancer Discovery
AI in cancer detection
article

Multimodal AI Model Predicts Breast Cancer Recurrence

article en

Abstract

An artificial intelligence model that incorporates a range of tumor and patient data proved significantly more accurate in retrospectively predicting breast cancer recurrence than a commonly used genomic test, suggesting that multimodal models could be leveraged to more accurately assess recurrence risk and guide patient care.

Cancer DiscoveryVol. 16(2)
Good health and well-being
Openalex Percentile: Top 17%
AI in cancer detection
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Multimodal AI Model Predicts Breast Cancer Recurrence · Cancer Discovery (2025) | TGRS Research Map | TGRS