We employed an AI hybrid modeling framework to develop and validate AIHFLevel, a web-based system designed for evaluating the long-term survival profiles of patients with AHF and RD. The system integrated outcome prediction, clinical interpretability and prognostic stratification, and outperformed other clinical traits and composite risk models. Through 13 straightforward queries, the system empowered users to understand the influence of each predictor on every single individual survival outcome, thereby enabling the optimization of management strategies and targeted interventions in clinical practice.

'AIHFLevel' emerged as a user-friendly tool, empowering healthcare professionals with enhanced capabilities for continuous risk monitoring and precise patient risk profiling.

LVEF: left ventricular ejection fraction. eGFR: glomerular filtration rate. MCHC: mean corpuscular hemoglobin concentration. CTnI: serum cardiac troponin I. SV: stroke volume. TBIL: serum total bilirubin. Cr: Serum creatinine. CKD stage: chronic kidney disease stage