Intelligente Bildgebung: Künstliche Intelligenz in der MRT-Diagnostik der Multiplen Sklerose

Magnetic resonance imaging (MRI) plays a central role in the diagnosis and monitoring of multiple sclerosis (MS). Artificial intelligence (AI) is increasingly being integrated into routine radiological practice. This narrative review provides an overview of current AI applications in MRI for MS. AI is used in image acquisition to accelerate data acquisition and to generate synthetic and high-resolution contrasts. In image interpretation, models are employed for lesion detection, atrophy quantification, and brain age estimation. AI can support diagnosis, differentiation of MS phenotypes, and prognosis assessment. Currently, the clinical application of AI models is primarily limited to lesion detection. For broader clinical adoption, further MRI protocol standardization, generalizability, validation of clinical relevance, and integration of multimodal data are essential. AI could thus become a key tool in personalized MS diagnostics and therapy.