Can artificial intelligence and real-world data predict cardiovascular events following treatment in female breast cancer patients?
Artificial intelligence models utilizing real-world clinical data offer potential approaches for the early prediction of cardiotoxicity in cardio-oncology practice.
• Application of real-world data and artificial intelligence in detecting cardiotoxicity following cancer treatment • Clinical features have been used to develop prediction models • Important features include age, tumor size, hypertension, HbA1c, HDL, creatinine, bilirubin, BUN, ALT, and diabetes • This study offers potential approaches for cardio-oncology clinical practice
Nguyen et al. (2025) studied this question.