Cardiotoxicity Monitoring

Cardiotoxicity monitoring requires the precise integration of clinical guidelines and patient data to prevent long-term cardiac dysfunction in oncology patients. Fillmore and his colleagues have investigated the use of large language models to automate this surveillance within electronic health records. Their work demonstrates that customized artificial intelligence frameworks can improve the scalability and precision of treatment planning in cardio-oncology.