Mentor Based
AI and Robotics in Surgery
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Course Overview
Program Syllabus
Module 1
About This Course
This cutting-edge course is designed to introduce and deepen knowledge of robotics applications in surgery and patient care. Covering the fundamentals of surgical robotics, automation in patient care, and ethical considerations, the course aims to blend theoretical knowledge with hands-on skills in robotics technology, emphasizing its practical application in healthcare.
Module 2
Aim
The aim of the course is to provide participants with a comprehensive understanding of the principles, applications, and implications of robotics technology in healthcare.
Module 3
Program Objectives
- Provide historical context and evolution of robotics in surgery and patient care.
- Familiarize participants with various robotic systems in healthcare and their applications.
- Introduce fundamental principles of robotics and automation relevant to healthcare.
- Explore robotic techniques in surgery, focusing on minimally invasive procedures and patient safety.
- Examine robotics applications beyond surgery, including patient rehabilitation and monitoring.
Module 4
MODULE 1 : Introduction to Robotics in Healthcare
- History and evolution of robotics in surgery and patient care.
- Overview of current robotic systems used in healthcare.
- Basic principles of robotics and automation.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI and Robotics in Surgery
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
MODULE 2 : Robotics in Surgical Procedures
- Detailed study of robotic systems in surgery, including da Vinci Surgical System.
- Techniques and technologies for minimally invasive surgery.
- Patient safety, outcome improvements, and efficiency in robotic surgery.
Module 6
MODULE 3 : Automation and Robotics in Patient Care
- Role of robotics in patient rehabilitation and care.
- Automation technologies for patient monitoring and support.
- Human-robot interaction in healthcare settings.
Module 7
MODULE 4 : Ethical, Legal, and Regulatory Considerations
- Ethical implications of using robotics in healthcare.
- Legal and regulatory framework governing the use of surgical robots.
- Privacy, consent, and patient rights in the context of robotic care.
Module 8
MODULE 5 : Designing and Implementing Robotic Solutions in Healthcare
- Engineering principles behind designing surgical robots and patient care automation.
- Prototyping and testing robotic solutions.
- Integration of robotic technologies in healthcare systems.
Module 9
MODULE 6 : Capstone Project
- Conceptualizing and developing a proposal for a robotic solution to a healthcare challenge.
- Applying design, regulatory, and technical knowledge.
- Presentation of projects, including prototypes, use cases, and impleme
Module 10
Who Should Enrol?
This course is intended for healthcare professionals, engineers, and students aiming to innovate and enhance surgical techniques using AI and robotics.
Module 11
Program Outcomes
- Gain a solid foundation in the principles and applications of robotics in surgery and patient care.
- Understand the technical specifications and operational mechanisms of surgical robotic systems.
- Develop skills in designing and prototyping robotic solutions for healthcare challenges.
- Navigate the ethical, legal, and regulatory aspects of implementing robotics in healthcare environments.
- Prepare for roles that contribute to the development, implementation, and management of robotic technologies in healthcare settings.
Module 13
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 14
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 15
Publication Opportunity
Get published in a prestigious open-access journal.
Module 16
Centre of Excellence
Become part of an elite research community.
Module 17
Networking & Learning
Connect with global researchers and mentors.
Module 18
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 19
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