Nikhitha Konda

Academy of Medical Sciences

Papers

1

Total Citations

8

H-Index

1

About

Nikhitha Konda is a rising researcher at the intersection of artificial intelligence, machine learning, and neuroscience. Her work focuses on leveraging computational methods to advance neuroregeneration, brain-computer interfaces, and neuroprosthetics. In her highly cited 2024 systematic review, "Artificial Intelligence and Machine Learning in Neuroregeneration," she synthesized the transformative potential of AI/ML in medical imaging, precise diagnostics, and pharmaceutical research, while highlighting their applications in enhancing surgical planning and neural repair. This paper has already garnered 8 citations, underscoring its timely impact. Konda’s contributions illuminate how AI-driven tools can accelerate breakthroughs in neuroscience and neurosurgery, from improving brain-computer interfaces to refining neuroprosthetic design. Her research bridges cutting-edge technology with clinical needs, offering a roadmap for integrating machine learning into regenerative medicine. As an emerging voice in this interdisciplinary field, Konda’s work is shaping the future of personalized, data-driven neurological care—making her a researcher to watch for students and scholars interested in the convergence of AI and neural science.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence and Machine Learning in Neuroregeneration: A Systematic Review
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Academy of Medical Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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