Neelan J. Marianayagam

Stanford University, Palo Alto University

Papers

2

Total Citations

11

H-Index

2

About

Neelan J. Marianayagam is a rising researcher at the intersection of neurosurgery and artificial intelligence, whose work is shaping the future of precision medicine. His primary research areas include the application of machine learning to neurosurgical decision-making and the optimization of stereotactic radiosurgery for movement disorders. In his highly cited 2024 review, Marianayagam systematically mapped how machine learning can predict diagnoses and outcomes, power advanced imaging analysis, and enable robotic navigation and intraoperative decision support—demonstrating that AI models can now reconstruct medical images and predict surgical events from video. His technical work also includes a dosimetric comparison of dedicated radiosurgery platforms for essential tremor, a condition affecting a growing aging population. By quantifying the performance of different radiation delivery systems, he provides actionable data to refine treatment for patients with medically refractory tremor. With his papers already garnering early citations, Marianayagam is establishing himself as a key voice translating complex computational tools into tangible clinical advances, bridging the gap between data science and the operating room.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning in Neurosurgery: Toward Complex Inputs, Actionable Predictions, and Generalizable Translations
8 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Stanford University, Palo Alto University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago