Ghaith Habboub

Papers

Total Citations

135

H-Index

About

Ghaith Habboub is a pioneering researcher at the intersection of artificial intelligence, machine learning, and spine surgery. His work focuses on how AI-driven technologies can transform clinical decision-making and surgical outcomes in orthopedics and neurosurgery. His most cited paper, "Artificial Intelligence and Robotics in Spine Surgery" (2020, 135 citations), provides a foundational narrative review of how AI and ML can enhance preoperative planning, intraoperative guidance, and postoperative care. Habboub’s contributions have helped define the emerging field of AI-assisted spine surgery, offering a roadmap for integrating predictive algorithms and robotic systems into routine practice. His research is widely referenced by clinicians and engineers developing smart surgical tools, and his work has been instrumental in bridging the gap between data science and surgical innovation. With a growing citation impact, Habboub continues to shape how spine surgeons leverage computational intelligence to improve patient outcomes, making him a key voice in the future of precision spine care.