About this Research Topic
medicine covers screening, diagnosis and prognosis of medical disorders, monitoring of disease activity, subjective and objectified patient condition, and assessment and evaluation of intended
(therapeutic) and unintended (side) effects of interventions. Digital medicine is particularly promising in chronic disorders, as these are characterized by an often unpredictable course and life-long
disease activity or disabilities. Compared to other chronic conditions, those affecting the nervous system are extra difficult to diagnose, monitor or treat, given the relative inaccessibility of the affected tissues, as well as the complexity of the underlying disease processes that are as yet poorly understood. This makes digital medicine especially promising in chronic neurological disorders like multiple sclerosis, Parkinson’s disease, epilepsy, Alzheimer disease, cerebrovascular diseases and neuromuscular disorders.
There is an ever-increasing amount of research projects in the field of digital medicine. This Research Topic of Frontiers in Human Neuroscience focuses specifically on digital medicine in chronic
neurological disorders. The aim is to provide readers, and foremost neurologists and neuroscientists, a broad overview of cutting-edge research, promising advances and new insights that could
fundamentally affect neurological practice from the digital perspective. General papers may make substantial contributions to the whole field of ICT-based chronic neurology; and disorder-specific
contributions may facilitate cross-border cooperation, thus leading to mutually reinforcing developments. By communicating a broad range of research findings the issue seeks to contribute to the acceptance and implementation of digital medicine in neurology.
We solicit reports of original research, reviews and position papers dealing with digital approaches in chronic neurological disorders. The broad scope of topics includes - but is not limited to - software
applications, digital biomarkers, virtual reality, augmented reality, big data, artificial intelligence, deep learning, machine learning, models, algorithms, decision support systems, devices (e.g. wearables), the Internet of Things and integrated digital care concepts, as well as methodological studies on validation and clinical meaningfulness, and evaluation studies on implementation, acceptance and (cost-)effectiveness. The submission of papers showing that digital initiatives have resulted in both improved quality of care or increased cost-effectiveness, and widespread implementation is especially encouraged, as these pertain to real innovations.
Keywords: Multiple sclerosis, Parkinson, epilepsy, Alzheimer, cerebrovascular, neuromuscular
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.