Programme Parameters
Graduate / Intermediate
3 Weeks (30 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI and Robotics in Surgery examines how machine intelligence and robotic systems are reshaping modern surgery. You learn how robotic surgical platforms work and extend a surgeon’s precision, how computer vision interprets the surgical field, and how AI supports preoperative planning, intraoperative guidance and skill assessment. The course looks honestly at the spectrum from assistance toward autonomy, and the safety, regulatory and ethical questions that come with operating on patients. You finish with a clear, grounded understanding of where AI and robotics genuinely add value in surgery. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers AI and robotics in surgery — robotic surgical systems, computer vision, surgical planning and autonomy, and the safety and ethics of AI in the operating room.
📋 Course Objectives
1. Explain how robotic surgical systems work.
2. Apply computer vision to the surgical field.
3. Use AI for surgical planning and guidance.
4. Understand the assistance-to-autonomy spectrum.
5. Address safety, regulation and ethics.
👥 Who Should Enroll?
• Surgeons and clinical professionals
• Medical-robotics engineers
• Health-tech and medical-device teams
• Students of medical technology
🚀 Key Learning Outcomes
• A grounded understanding of surgical AI and robotics.
• The ability to reason about the technology’s value.
• A safety-first clinical perspective.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Surgical Robotics Systems
• Teleoperated, shared-control and supervised-autonomy architectures
• Kinematics, instrument articulation and workspace constraints
• Haptics and the consequences of its absence in current platforms
Intraoperative Vision and Guidance
• 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
Workflow and Performance Analysis
• 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
Automation With Hard Safety Limits
• 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
Evidence, Regulation and Adoption
• Clinical evidence expectations and IDEAL framework stages
• Regulatory pathways for robotic and AI-enabled surgical devices
• Learning curves, credentialing and cost-effectiveness in practice
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | ROS |
| Covered Tool / Platform | MATLAB |
| Covered Tool / Platform | Simulink |
| Covered Tool / Platform | Arduino |
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Gazebo |
| Covered Tool / Platform | SolidWorks |
Frequently Asked Questions
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