CardioAI cardiovascular risk module
CardioAI cardiovascular risk module has been studied in 1 paper since 2026: none in people yet; 1 in the past year. No study of it in people or animals has been published yet. The newest paper, Mar 31, 2026: “CardioAI: An Explainable Machine Learning System for Cardiovascular Risk Prediction and Patient Retention in Nigerian Healthcare Settings”.
1 paper studies it1 findingUpdated
See all 1 papers on CardioAI cardiovascular risk module
- In silico1
What did studies of CardioAI cardiovascular risk module find?
1Studies of CardioAI cardiovascular risk module measured 1 outcome; the most studied are Cardiovascular risk prediction AUC-ROC (1 study).
Cardiovascular risk prediction AUC-ROC
upin silico1
1 study
Cardiovascular risk prediction AUC-ROC
upin silico1
CardioAI cardiovascular risk module improves cardiovascular risk prediction AUC-ROC in silico (AUC-ROC 0.999).
“The cardiovascular risk module achieved an AUC-ROC of 0.999 (XGBoost), 0.998 (Random Forest), 0.994 (MLP), and 0.927 (Logistic Regression) on the held-out test set.”
In silicon = 1,025
medRxivPreprint