Akshay Khanna
Papers
2
Total Citations
3
H-Index
1
About
Akshay Khanna is a rising researcher at the forefront of integrating artificial intelligence into spine care, a field where his work is already shaping the future of surgical and diagnostic medicine. His primary research focuses on the application of machine learning architectures to revolutionize contemporary spine care, spanning imaging-based diagnostics, surgical planning, genomic risk stratification, and post-operative outcome prediction. In his seminal 2025 narrative review, Khanna synthesized the rapid evolution of AI and ML technologies, demonstrating how these tools are initiating a paradigm shift in the field—from enhancing the precision of spinal imaging to personalizing treatment pathways through genomic data. His work has garnered early citations, signaling its foundational impact on both clinical practice and future research directions. By bridging the gap between advanced computational models and real-world surgical challenges, Khanna is establishing himself as a key voice in the movement toward data-driven, intelligent spine care. His contributions promise to improve patient outcomes and streamline clinical workflows, making him a researcher to watch in the intersection of orthopedics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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- 2