End-to-end Prediction of Knee Osteoarthritis Progression Using Multimodal Transformers I. Academic Background Knee osteoarthritis (KOA) is a chronic musculoskeletal disease that affects hundreds of millions of people worldwide. Due to gradual degeneration of articular cartilage and bone, KOA typically leads to chronic pain, joint stiffness, and fun...

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...

Differences in Brain Cortical Morphological Networks Between Gyri and Sulci Introduction The human brain, as an interconnected complex network, can be mapped through virtual imaging using multimodal magnetic resonance imaging (MRI) technology. By analyzing this network using graph theory methods, many studies have discovered some non-trivial topolo...

MRIO: A Magnetic Resonance Imaging Acquisition and Analysis Ontology Magnetic Resonance Imaging (MRI) is a biomedical imaging technology used to non-invasively visualize internal structures of tissues in three-dimensional space. MRI is widely used in studying the structure and function of the human brain and is a powerful tool for diagnosing neurol...