About this Research Topic
The goal of this Research Topic is to shed light on the remarkable strides made in AI applications within acute neurology and emphasize their critical role in addressing existing gaps in patient care. As we move towards an era of personalized medicine, AI-based tools have the potential to revolutionize early detection, diagnosis, and treatment decision-making in acute neurological scenarios. By sharing your novel findings and perspectives, you will contribute to bridging the gap between AI research and clinical practice, fostering evidence-based approaches to improve patient outcomes.
This Research Topic will encompass a wide range of AI-related themes, including but not limited to:
• AI-driven Neuroimaging for Rapid Diagnosis
• Predictive Models for Acute Stroke Management
• AI in Neurocritical Care and Telemedicine
• Automated Analysis of EEG and Evoked Potentials
• Integrating Big Data and AI in Acute Neurology
• AI in neuroprotective strategies
• Ethical consideratoins in AI applicatoins
• Integration of AI in medical education
• AI in neurorehabilitation
Contributors are invited to submit original research articles, reviews, case studies, perspectives, and commentaries that delve into the applications, challenges, and future directions of AI in the realm of acute neurology.
On behalf of the editorial team, I sincerely hope you will consider this invitation to be part of this transformative initiative. By sharing your expertise and pioneering research, we can collectively advance the integration of AI in acute neurology, ultimately benefiting countless patients worldwide. Thank you for your invaluable contributions to the field of neurology. We eagerly look forward to receiving your submissions and making this special issue a resounding success.
Keywords: Artificial intelligence, Acute neurology, Neurological emergencies, AI-driven neuroimaging, Precision medicine, Decision support systems, Predictive models, Neurocritical care.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.