📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI and Robotics in Surgery, from foundations to a certified capstone project.
Platforms
• Teleoperated, shared-control and supervised-autonomy architectures
• Kinematics, instrument articulation and workspace constraints
• Haptics and the consequences of its absence in current platforms
Perception
• Endoscopic scene understanding: instrument and anatomy segmentation
• Registration of preoperative imaging to the operative field, and tissue deformation
• Augmented reality overlays and the risk of misleading the surgeon
Skill
• Surgical phase recognition and automated workflow segmentation
• Objective skill assessment from motion and video data
• Feedback for training, and the validity limits of automated scoring
Autonomy
• Task-level autonomy: suturing, camera control and tissue manipulation
• Safety envelopes, fault detection and graceful degradation
• Verification and validation for a system that can injure a patient
Translation
• Clinical evidence expectations and IDEAL framework stages
• Regulatory pathways for robotic and AI-enabled surgical devices
• Learning curves, credentialing and cost-effectiveness in practice
Earn government-registered certification in AI and Robotics in Surgery
e-Certificate and e-Marksheet issued on successful completion.
