About this Research Topic
This Research Topic aims to explore the current research landscape of advanced neuroimaging techniques within the context of cerebrovascular diseases. It seeks to highlight recent advancements and discuss the persistent gaps in research and practice that limit their diagnostic potential.
By bringing together experts from diverse disciplines, this issue aims to foster a comprehensive exchange of knowledge and ideas that will propel the development and application of novel approaches and improvements in neuroimaging. This will enhance the accuracy, efficiency, and clinical utility of neuroimaging in evaluating cerebrovascular diseases. This Research Topic, by addressing these areas, hopes to make a tangible contribution to the field of cerebrovascular disease research and treatment, ultimately leading to improved patient care and outcomes.
Some of the areas that this topic aims to address are:
1. Latest advancements in neuroimaging and their applications in diagnosing and managing cerebrovascular diseases, including the use of artificial intelligence (AI) and machine learning algorithms.
2. Limitations of current imaging techniques such as the potential for misdiagnosis and poor diagnostic/prognostic accuracy, and potential opportunities/pathways to overcome these challenges.
3. Emerging and novel approaches to enhance the clinical utility of neuroimaging in cerebrovascular disease.
Keywords: neuroimaging, cerebrovascular diseases, stroke, artificial intelligence, machine learning
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.