Eghosasere Egbon

Austrian Cluster for Tissue Regeneration

Papers

Total Citations

H-Index

About

Eghosasere Egbon is an emerging researcher at the intersection of artificial intelligence, digital health technologies, and clinical applications, with a focus on transforming patient care through cutting-edge innovation. His most influential work centers on the integration of AI into orthodontics, where his 2025 narrative review — already garnering 24 citations — examines how machine learning and predictive algorithms are revolutionizing personalized treatment planning, tooth movement prediction, and custom appliance fabrication. This contribution positions him as a notable voice in precision dentistry and AI-driven clinical workflows. Beyond orthodontics, Egbon extends his inquiry into robotic surgery, exploring the technological advances, implementation challenges, and global prospects of surgical robotics in healthcare systems — a paper that has quickly attracted attention with 6 citations since its publication. Collectively, his research reflects a broader intellectual commitment to understanding how emerging technologies can optimize clinical precision, improve patient outcomes, and bridge gaps in global healthcare delivery. Though early in his career, Egbon's citation trajectory and cross-disciplinary scope suggest a researcher poised to make meaningful contributions to the rapidly evolving landscape of AI and robotics in medicine.