Nitu L. Wankhede
Papers
1
Total Citations
54
H-Index
1
About
Nitu L. Wankhede is a rising researcher at the forefront of applying artificial intelligence to neurodevelopmental disorders, with a particular focus on autism spectrum disorder (ASD). Her work bridges the gap between advanced computational methods and clinical neuroscience, aiming to revolutionize how ASD is diagnosed and treated. Her most cited paper, "Leveraging AI for the diagnosis and treatment of autism spectrum disorder: Current trends and future prospects" (2024), has already garnered 54 citations, reflecting its timely and impactful synthesis of machine learning, deep learning, and behavioral data analysis. In this work, Wankhede critically evaluates how AI can enhance early detection, personalize interventions, and improve outcomes for individuals with ASD. Her contributions are notable for their interdisciplinary approach, combining technical rigor with a deep understanding of clinical challenges. As a young scholar, Wankhede is establishing herself as a key voice in the emerging field of AI-driven mental health, with her research poised to influence both future studies and practical applications in diagnostic tools and therapeutic strategies. Her work underscores the transformative potential of AI in addressing complex neurological conditions.
Research Focus
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Top Papers
- 1