AutoRadAI is an advanced artificial intelligence (AI) pipeline developed to identify extracapsular extension (ECE) in prostate cancer (PCa) using T2-weighted magnetic resonance imaging (MRI) scans. This end-to-end, user-friendly software comprises a suite of Python scripts for detailed preprocessing and utilizes two cutting-edge deep learning algorithms, ProSliceFinder and ExCapNet, designed for precise medical image analysis. The system processes images to optimize them for deep learning models, enhancing diagnostic accuracy. ProSliceFinder identifies relevant MRI images for training, and ExCapNet assesses the likelihood of ECE in patients, achieving high accuracy in blind tests. AutoRadAI stands out for its data-driven accuracy, ease of use via a web application, and its potential as a clinical diagnostic and treatment planning tool. The technology represents a significant innovation in medical imaging, offering robust performance and streamlined operation, making it ideally suited for widespread clinical application.
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