


TELANGANA, INDIA - Neuroscience is a demanding field, requiring extensive training, stamina, precision, dexterity, efficient decision-making, and teamwork on the part of surgeons. From a research point of view, scientists are also working hard to discover the depth of the human brain and explore its innumerable capabilities.
Increasingly, this is overlapping with research in the field of artificial intelligence (AI). While the purposes and end results of these two types of research are different, both AI and neuroscience aim to understand the full potential of the human mind. In fact, insights from neuroscience can even help the functioning of AI-powered systems.
Neurological disorders are one of the leading contributors to the burden of disease in India. In 2019, the Global Burden of Diseases, Injuries, and Risk Factors Study released under the Institute for Health Metrics and Evaluation at the University of Washington released data for the India State-Level Disease Burden Initiative Neurological Disorders Collaborators1 to analyze the growing trends of neurological diseases from 1990 to 2019. One of the points of emphasis was that the contribution of non-communicable neurological disorders was 4 percent in 1990, a figure which more than doubled to 8.2 percent by 2019. Meanwhile, communicable neuro disorders accounted for 4.1 percent of all diseases in 1990, though just 1.1 percent in 2019.
Among these diseases, the ones that are most alarming include strokes, epilepsy, chronic headaches, Parkinson’s disease, and dementia, all of which are diagnosed mostly in the urban Indian population.
The Indian medical community is echoing the common reasoning that AI and deep learning can help neurological experts delve deeper into unlocking the untouched capabilities of the human brain. With a better understanding of the brain’s different lobes thanks to AI, health experts will have more effective ways
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