Digital neurology integrates neuroscience with digital technologies to revolutionize diagnosis, monitoring, and treatment of brain disorders. By combining wearable sensors, mobile applications, AI algorithms, and tele-platforms, clinicians can continuously track neurological health and deliver personalized interventions remotely.

The Digital Neurology session showcases how data science and digital therapeutics are transforming traditional neurology into an accessible, precision-based field. From smartphone-based gait analysis to cloud-linked EEG monitoring, digital tools are redefining patient engagement and clinical efficiency.

At the Digital Neurology Conference, experts share breakthroughs in remote patient monitoring, predictive analytics, and digital biomarkers. These innovations help detect early signs of diseases such as Parkinson’s, multiple sclerosis, and epilepsy. Discussion topics include regulatory frameworks for digital-health integration and the ethical handling of patient data.

This session brings together neurologists, engineers, data scientists, and healthcare entrepreneurs working to bridge neuroscience and technology. It also explores the use of AI for diagnostic imaging, chatbot-driven patient support, and virtual-reality therapy.

The field of Neurotechnology and AI continues to fuel digital transformation, enabling real-time insights and precision-driven neurological care worldwide.