Najib E. El Tecle

Papers

Total Citations

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About

Najib E. El Tecle is a pioneering neurosurgeon and researcher at the forefront of surgical innovation, with a primary focus on artificial intelligence (AI), robotics, and automation in spine surgery. His work explores how deep learning and machine learning algorithms can transform surgical practice, particularly through the integration of automated devices into clinical workflows. El Tecle’s most-cited paper, *Beyond AI and robotics: the dawn of surgical automation in spine surgery* (2024, 8 citations), envisions a future where autonomous systems augment human skill, reshaping the possibilities of the operating room. He also addresses critical gaps in surgical education, as seen in his scoping review on *Resident Training in Minimally Invasive Spine Surgery* (2025), which characterizes the steep learning curves and technological demands of modern MISS training. By bridging cutting-edge automation with the practical realities of surgical skill acquisition, El Tecle is shaping both the tools and the training of tomorrow’s spine surgeons. His work is essential reading for anyone interested in the intersection of AI, robotics, and the future of surgical care.