Andrew Ng

Andrew Ng serves as a Clinical Assistant Professor of Neurology (Clinician Educator) at the University of Southern California, focusing on the integration of artificial intelligence and robotics into surgical practice. His clinical educator role emphasizes advancing surgical training methodologies and performance assessment systems.

His primary research interests include:

• Robotic surgery systems and implementation
• Artificial intelligence applications in surgical performance analysis
• Telesurgery frameworks and safety protocols
• Surgical training feedback mechanisms
• Urological and neurological surgical outcomes
• Objective assessment of surgical skills

Analysis of his 2022-2025 publications reveals a dominant focus on AI-driven surgical performance metrics, particularly in robotic prostatectomy. His work establishes critical links between intraoperative technical skills and long-term patient outcomes, with significant contributions to nerve-sparing quantification and real-time feedback systems. The research consistently bridges computer vision, machine learning, and clinical surgical practice to develop predictive models for recovery metrics.

Dr. Ng actively contributes to surgical consensus statements through organizations like the Society of Robotic Surgery, developing standardized frameworks for telesurgery implementation and surgical gesture analysis. His collaborative work spans engineering teams for AI tool development and clinical teams for surgical outcome validation, positioning him at the forefront of surgical technology translation.