This research introduces an innovative composable strategy framework that leverages integrated video-text large language models for comprehensive heart failure assessment.

• Addresses a critical global health challenge with millions of annual deaths
• Combines multimodal AI analysis of doctor-patient consultations, medical histories, and examinations
• Provides a structured approach to the complex, multifactorial nature of heart failure
• Aims to improve assessment accuracy and treatment optimization

This work represents a significant advance in applying AI to cardiology, potentially improving diagnosis, treatment planning, and patient outcomes for one of the world's leading causes of mortality.

Composable Strategy Framework with Integrated Video-Text based Large Language Models for Heart Failure Assessment