Artificial Intelligence
In Parkinsons 2026, this session explores the transformative role of artificial intelligence in Parkinsons disease research, diagnosis, and care. It highlights how AI-driven tools are being used to analyze complex datasets, improve early detection, and enhance understanding of Brain function and disease mechanisms. The session also examines the contributions of Neurology to AI-based clinical decision-making and personalized treatment strategies. In addition, AI applications in predicting outcomes related to Stroke and identifying cognitive changes associated with Dementia are discussed, showcasing how advanced analytics can improve patient care and outcomes.
Tracks:
Track 16.1: Machine Learning
Track 16.2: Deep Learning
Track 16.3: Predictive Modeling
Track 16.4: Data Analytics
Track 16.5: AIin Diagnosis