Artificial intelligence in neurosciences: A clinician's perspective

Read the PDF article on the link below. This article will present a review on the practical utility of AI in neurosciences from the perspective of a clinician.

Dr. Krishnan Ganapathy, Dr. Shabbir Syed Abdul, and Dr. Aldilas Achmad Nursetyo will present a review of the exponential development in this area from a clinical standpoint. The reader will be exposed to the fundamentals of AI in healthcare and its applications in different areas of neurosciences. Powerful AI techniques can unlock clinically relevant information, hidden in massive amounts of data. Translating technical computational success to meaningful clinical impact is, however, a challenge. AI requires a thorough and systematic evaluation, prior to integration in the clinical care. Like other disruptive technologies in the past, its potential for causing a great impact should not be underestimated. A scenario in which medical information, gathered at the point of care, is analyzed using sophisticated machine algorithms to provide real-time actionable analytics seems to be within touching distance.

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This article is from the free online course:

Artificial Intelligence for Healthcare: Opportunities and Challenges

Taipei Medical University