Predicting Cardiac Toxicity in Lung Cancer Patients Using Machine Learning
Swathi Kashettar
The research aims to predict long-term cardiac side effects from radiation therapy in lung cancer patients using machine learning.
Machine learning algorithms analyze standard lung-cancer scans to identify patients at risk of heart damage later in life.
This method could ensure early monitoring and intervention for at-risk patients before their condition becomes debilitating.
The study represents the first application of functional radiomics to predict cardiac toxicity from medical images.
The AI algorithm was trained on diverse data sources to minimize bias and uses a manageable number of predictive features for clarity and clinical relevance