Chellammal Surianarayanan
Papers
1
Total Citations
105
H-Index
1
About
Dr. Chellammal Surianarayanan is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on the convergence of AI and neuroscience. Her most impactful work, the 2023 scoping review "Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders," has already garnered over 105 citations, underscoring its significance in the field. This seminal paper systematically explores how AI techniques—from machine learning to deep learning—can be harnessed to analyze complex neural data, offering transformative potential for diagnosing conditions such as Alzheimer's, Parkinson's, and epilepsy. By bridging computational models with brain structure and function, Dr. Surianarayanan's contributions provide a roadmap for developing non-invasive, accurate diagnostic tools that could revolutionize clinical neurology. Her work not only synthesizes current advancements but also identifies critical gaps, guiding future research toward more personalized and efficient neurological care. Through her rigorous analysis and forward-looking perspective, she has established herself as a key voice in the emerging dialogue between artificial intelligence and medicine, inspiring both computer scientists and clinicians to collaborate on solving some of the most pressing challenges in neurological health.
Research Focus
Key Achievements
Top Papers
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