Machine learning in image‐based outcome prediction after radiotherapy: A review

X Yuan, C Ma, M Hu, RLJ Qiu, E Salari… - Journal of Applied …, 2025 - Wiley Online Library
The integration of machine learning (ML) with radiotherapy has emerged as a pivotal
innovation in outcome prediction, bringing novel insights amid unique challenges. This …

CLASSIFICATION OF BREAST LYMPHEDEMA IN A RACIALLY DIVERSE COHORT.

JG Chen, CB Perez, A Coogan, T Kim… - …, 2024 - search.ebscohost.com
Breast lymphedema is a common sequela of breast conservation that delays healing and
reduces quality of life. No rigorous classification system exists for this condition. We explored …

Quantitative ultrasound radiomics for monitoring radiation-induced toxicity following breast radiotherapy

J Wang, B Zhou, MA Torres, X Yang… - Medical Imaging 2023 …, 2023 - spiedigitallibrary.org
Radiotherapy (RT) is a standard treatment component for early-stage breast cancer. Despite
the improved tumor control, RT-induced toxicity can negatively impact patient's quality of life …