Overview

The field studies how to detect breast cancer, estimate future risk, classify tumors, and predict treatment response or recurrence. Common approaches include deep learning on mammograms, MRI, and pathology slides; longitudinal alignment of screening images; and models that combine imaging with clinical records or molecular data. Methods are tested on settings such as EMBED and CSAW-CC mammograms, TCGA-BRCA pathology data, and multi-cohort MRI studies, with external validation used to assess transfer across hospitals and populations. Strong results remain difficult to translate reliably: performance can shift across datasets and subgroups, and safety, calibration, interpretability, and prospective clinical benefit remain important tests.

Latest papers

CardsList

47 papers5 papers in the last four weeks, down 29% on the four weeks before. 0.0% of all new papers.

  1. A Lightweight Fiducial-Based Pipeline for 3D Hyperspectral Mapping of ex-vivo Lumpectomy Specimens

    Jun 12, 2026Anna Bicchi, Alberto Rota, Leonardo Passoni +5Breast CancerMedical Image Registration

  2. BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine

    Jun 3, 2026Yang Liu, Jiajin Zhang, Danyang Tu +8Breast CancerMedical Imaging

  3. Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction

    Jun 1, 2026Jiahao Shao, Xudong Wang, Anam Nawaz Khan +3Breast CancerClinical Outcome Prediction

  4. Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?

    May 8, 2026Natalie Seah, Danielle S. Bitterman, Daphna Spiegel +1Breast CancerHealthcare

  5. Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer

    May 8, 2026Alice Natalina Caragliano, Valerio Guarrasi, Michela Gravina +2Breast CancerClinical Outcome Prediction

  6. Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis

    Apr 18, 2026Aditya Shribhagwan Khandelwal, Mohammad Samar Ansari, Asra AslamBreast CancerComputational Pathology

  7. LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling

    Apr 13, 2026Xin Wang, Yuan Gao, George Yiasemis +13Medical Image AnalysisClinical Risk Prediction

  8. Longitudinal Risk Prediction in Mammography with Privileged History Distillation

    Mar 16, 2026Banafsheh Karimian, Soufiane Belharbi, Alexis Guichemerre +3Breast CancerMedical Imaging

  9. Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods

    Mar 16, 2026Abdullah Bin Faiz, Arbaz Khan Shehzad, Asad Afzal +5Clinical Information ExtractionLLM Information Extraction

  10. Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes

    Mar 12, 2026Muhammad Faisal Shahid, Asad Afzal, Abdullah Faiz +5Clinical Outcome PredictionCancer Survival Prediction

  11. Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction

    Feb 25, 2026Toktam KhatibiCancer Survival PredictionMultimodal Survival Analysis

  12. OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis

    Nov 24, 2025Istiak Ahmed, Galib Ahmed, K. Shahriar Sanjid +10Breast CancerMedical Image Segmentation

  13. The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment

    Nov 11, 2025Solveig Thrun, Stine Hansen, Zijun Sun +8Longitudinal Medical Image AnalysisMammography