International Journal of Science and Technology (IJST)

Simulation-Based AI Training for Surgeons: Redefining Medical Education and Skill Development

The advent of Artificial Intelligence (AI) in surgical education has revolutionized traditional training methodologies by introducing simulation-based learning platforms that provide realistic, adaptive, and personalized experiences for surgeons. These AI-driven simulation systems enhance the acquisition of technical skills, decision-making capabilities, and procedural competence without risking patient safety. This paper presents a comprehensive review of AI applications in simulation-based surgical training, examining how machine learning, computer vision, and virtual reality are integrated to create immersive learning environments. The paper highlights the benefits of these technologies, including objective performance assessment, tailored feedback, and continuous skill refinement. Additionally, it discusses the challenges related to system development, ethical considerations, and integration into existing curricula. By analyzing case studies and emerging trends, this review underscores the transformative potential of AI-driven simulation in redefining medical education and advancing surgical skill development.