AI-supported multimodal medical imaging system for the early detection of diseases

Abstract

An AI-powered multimodal medical imaging system for the early detection of diseases, consisting of: a module for acquiring medical image data from various imaging modalities; a module for integrating clinical patient data into the acquired image datasets; a module for image preprocessing and enhancement to optimize image quality and normalize heterogeneous image datasets; a module for multimodal image registration and fusion for spatial alignment and fusion of image data from different imaging modalities; a module for lesion detection and anatomical segmentation to detect pathological anomalies and segment anatomical structures; and a module for radiomics and biomarker extraction to extract quantitative imaging biomarkers.a disease classification and prediction module for classifying diseases and generating predictive diagnostic outcomes using artificial intelligence algorithms; an explainable artificial intelligence module for generating interpretable diagnostic explanations; a clinical decision support and emergency response module for generating diagnostic recommendations and emergency alerts; and an adaptive learning, security, and cloud analytics module for continuously improving diagnostic performance while ensuring secure health data analytics and regulatory compliance.