An Artificial Intelligence Model for Estimating theRadiation Dose for a Patient in the Cardiac Catheterization Room

Abstract

This study aims to develop an intelligent model to estimate the radiation dose to patients during cardiac catheterization procedures[1] using X-rays. Data from 41 patients who underwent cardiac catheterization procedures were collected, and several machine learning models were built to predict the radiation dose, including linear regression, random forest, and stacked model. The results showed that the improved stacked model is the most accurate, providing an effective tool for estimating the expected radiation dose before the procedure begins, thus improving patient safety.