Figure 1. Overview of artificial intelligence applications in cerebral aneurysm imaging.
This schematic diagram illustrates the three main artificial intelligence (AI) methodologies (radiomics, machine learning, and deep learning) and their respective roles in cerebral aneurysm detection and rupture risk prediction. Radiomics focuses on quantitative feature extraction from medical imaging; machine learning integrates structured data for risk modeling; and deep learning automates feature recognition directly from imaging inputs. The figure highlights data flow from imaging and clinical sources into AI pipelines, leading to predictive outputs and clinical decision support.
From: Artificial Intelligence in Cerebrovascular Imaging: A Targeted Review of Aneurysm Detection and Rupture Risk Prediction
