Artificial intelligence is making significant strides in the early detection and diagnosis of rare neurological diseases, often overlooked or misdiagnosed due to their rarity and complexity. AI systems, trained on vast datasets, can identify subtle patterns and anomalies in patient data that might escape traditional diagnostic methods. This capability is particularly crucial in neurology, where early diagnosis can drastically alter the course of a disease, providing opportunities for timely interventions and better management. AI-driven tools are not only improving diagnostic accuracy but also enabling the discovery of new disease markers, contributing to the understanding of these rare conditions. As AI continues to evolve, it is expected to play an increasingly vital role in the fight against rare neurological diseases, offering new hope to patients and healthcare providers alike.
Sources : SpringerLink Frontiers
