Abstract

Robotic-assisted surgery (RAS) has emerged as a transformative tool in otolaryngology, offering enhanced precision, reduced invasiveness, and improved patient outcomes. This paper explores the evolution, advantages, and challenges of robotic-assisted surgery in otolaryngology, with a focus on transoral robotic surgery (TORS) and robotic-assisted sinus and skull base procedures. Through an analysis of clinical outcomes, surgical efficiency, and future prospects, this research highlights how RAS is revolutionizing otolaryngologic procedures. Challenges such as cost, accessibility, and training requirements are also discussed. The integration of artificial intelligence (AI) and machine learning in robotic surgery is anticipated to further refine surgical techniques and optimize patient care.