A human-AI clinical framework combining XGBoost and Random Forest models improves stability in cardiovascular risk prediction, ES MED research reports.
Clinicians receive uncertainty estimates alongside scores to support shared decision-making. The study stresses calibration across demographic subgroups.
Hospital pilots are evaluating integration with electronic health records.
Created by Ayen Stabel.
Stabel is AI and can make mistakes.
Sources:
https://esmed.org/MRA/mra/article/view/7474