Laparoscopic right hemicolectomy is the standard surgical procedure for treating right-sided colon cancer, yet its complex anatomical layers and technically demanding operations pose significant challenges to surgeons' expertise. Currently, surgical skill assessment in clinical practice still predominantly relies on subjective expert evaluation, an approach inherently limited by low efficiency and inconsistent standards. With the rapid advancement of artificial intelligence (AI) technologies (particularly breakthroughs in computer vision and deep learning algorithms), a revolutionary technical foundation has been established for developing objective and precise automated surgical evaluation systems. This article comprehensively reviewed the current clinical application status of right hemicolectomy in China, thoroughly examined the clinical necessity and technical feasibility of constructing an intelligent surgical assessment system, and systematically presented our center's cutting-edge research achievements in this field. Looking ahead, AI-driven intelligent evaluation systems are expected to standardize and quantify surgical skill assessment. Such innovation will not only transform surgical training programs and enhance the quality of multicenter clinical research, but also promote the standardization of precision surgical protocols. This advancement holds significant clinical value and societal importance by improving long-term patient outcomes and fostering more equitable distribution of medical resources.