The Power of Prediction: AI Models for Congestive Heart Failure Anticipation

Abstract

Congestive Heart Failure (CHF) remains a leading cause of morbidity and mortality worldwide. Early detection and intervention are paramount in mitigating its impact. With the advent of Artificial Intelligence (AI), predictive models have emerged as a promising avenue for anticipating CHF onset, allowing for timely interventions and improved patient outcomes. This paper delves into the current landscape of AI models for CHF anticipation, exploring their methodologies, advantages, challenges, and potential future directions.