About this Research Topic
Rapid advances in Artificial Intelligence (AI) and the growing health data volume are expected to significantly impact the health sector. Neuro-immunological disorders like multiple sclerosis (MS) can particularly benefit from cutting-edge technologies due to their multifactorial nature and complex treatment. MS is a chronic, inflammatory, and degenerative disorder of the central nervous system characterized by relapsing events and increasing disability. Cutting-edge technologies like artificial intelligence have the potential to play a crucial role in supporting the MS community in overcoming the complexity of the disease and its treatment, specifically in addressing challenging topics such as MS diagnosis, progression and personalized treatments.
This special edition aims to address the clinical complexity of multiple sclerosis (MS) by leveraging data-driven insights and innovative health initiatives. The overarching goal is to present the current challenges in MS research and explore recent advances and future trends that can significantly impact patient care. We begin by setting the scene with inspiring examples, highlighting the importance of data-driven approaches in understanding and managing MS. This is followed by an in-depth examination of the state-of-the-art techniques in utilizing big data and artificial intelligence (AI) for MS, including digital remote monitoring, magnetic resonance imaging, and biomarker analysis. Lastly, we explore future trends in data science, emphasizing the necessity for trustworthy AI, integrating patient expectations, and the ethical implications of cutting-edge technologies. By delving into these aspects, we aim to foster a comprehensive understanding of how advanced data techniques can revolutionize MS research and treatment, ultimately improving outcomes for patients.
This Research Topic accepts Systematic Review, Review and Mini-Review, Policy and Practice Reviews, Perspective, General Commentary. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Inspiring examples of existing and arising health data initiatives in MS
• The application of digital health remote monitoring in MS management
• Advances in the use of magnetic resonance imaging and AI for MS diagnosis and progression
• Advances in the use of high-dimensional datasets in understanding MS
• The future of MS research with an emphasis on trustworthy AI
• Integrating patient expectations and ethical considerations in the development of new MS technologies
• Data spaces and their potential impact on MS research
This special edition aims to address the clinical complexity of multiple sclerosis (MS) by leveraging data-driven insights and innovative health initiatives. The overarching goal is to present the current challenges in MS research and explore recent advances and future trends that can significantly impact patient care. We begin by setting the scene with inspiring examples, highlighting the importance of data-driven approaches in understanding and managing MS. This is followed by an in-depth examination of the state-of-the-art techniques in utilizing big data and artificial intelligence (AI) for MS, including digital remote monitoring, magnetic resonance imaging, and biomarker analysis. Lastly, we explore future trends in data science, emphasizing the necessity for trustworthy AI, integrating patient expectations, and the ethical implications of cutting-edge technologies. By delving into these aspects, we aim to foster a comprehensive understanding of how advanced data techniques can revolutionize MS research and treatment, ultimately improving outcomes for patients.
This Research Topic accepts Systematic Review, Review and Mini-Review, Policy and Practice Reviews, Perspective, General Commentary. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Inspiring examples of existing and arising health data initiatives in MS
• The application of digital health remote monitoring in MS management
• Advances in the use of magnetic resonance imaging and AI for MS diagnosis and progression
• Advances in the use of high-dimensional datasets in understanding MS
• The future of MS research with an emphasis on trustworthy AI
• Integrating patient expectations and ethical considerations in the development of new MS technologies
• Data spaces and their potential impact on MS research
Keywords: Artificial Intelligence, Multiple Sclerosis, Trustworthy AI, Patient Expectations
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.
