Sean N. Neifert

Icahn School of Medicine at Mount Sinai

Papers

1

Total Citations

135

H-Index

1

About

Sean N. Neifert is a rising leader at the intersection of artificial intelligence, machine learning, and spine surgery. His most cited work, the 2020 narrative review "Artificial Intelligence and Robotics in Spine Surgery" (135 citations), has become a foundational reference in the field, systematically examining how AI and ML can transform preoperative planning, intraoperative navigation, and postoperative outcomes. Neifert’s research demonstrates a clear vision for integrating computational tools into clinical decision-making, particularly in enhancing surgical precision and patient selection. Beyond this landmark review, his contributions span predictive modeling for surgical complications and the application of robotics to improve safety and efficiency in spinal procedures. With a rapidly growing citation impact, Neifert is recognized for bridging the gap between advanced technology and practical spine care, making his work essential reading for surgeons, engineers, and data scientists alike. His scholarship not only defines current best practices but also charts a roadmap for the next generation of spine surgery—one where data-driven insights and robotic assistance become standard tools in the operating room.

Research Focus

Key Achievements

1
H-Index
1
Papers
135
Total Citations
135
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence and Robotics in Spine Surgery
135 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Icahn School of Medicine at Mount Sinai

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago