Training course on Advanced Robotics in Healthcare

Module 1: Introduction to Robotics in Healthcare
Overview:
Introduces the evolution, scope, and impact of robotics technologies in the healthcare sector.
Key Topics:
Evolution of medical robotics and automation
Types of healthcare robots: surgical, diagnostic, rehabilitation, and service robots
Key components: sensors, actuators, and control systems
Role of robotics in improving precision, safety, and efficiency
Overview of robotics-enabled healthcare transformation
Practical Focus:
Participants review case studies of leading robotic healthcare systems (e.g., da Vinci, ROSA, CyberKnife).

Module 2: Fundamentals of Robotic Systems and Control
Overview:
Covers the mechanical and control aspects of robotic systems relevant to medical applications.
Key Topics:
Kinematics and dynamics of robotic manipulators
Motion control, feedback loops, and PID controllers
Robot operating systems (ROS) and middleware
Human-robot interaction (HRI) fundamentals
Safety mechanisms and fail-safe design in clinical environments
Practical Focus:
Simulate robotic arm movement using open-source robotics platforms (e.g., ROS or V-REP).

Module 3: Surgical Robotics and Precision Medicine
Overview:
Focuses on robotic systems designed for minimally invasive surgery, diagnostics, and clinical intervention.
Key Topics:
Architecture of surgical robots (e.g., master-slave systems, haptic feedback)
Robotic-assisted surgery and laparoscopic automation
Image-guided and navigation-assisted robotic systems
Integration with medical imaging (CT, MRI, ultrasound)
Case studies: da Vinci, MAKO, and robotic endoscopy platforms
Practical Focus:
Analyze surgical robotics workflow and identify integration points for AI-based precision enhancement.

Module 4: Rehabilitation and Assistive Robotics
Overview:
Explores the role of robotics in physical rehabilitation, prosthetics, and assistive care.
Key Topics:
Robotic exoskeletons and wearable assistive devices
Neuroprosthetics and brain-computer interfaces (BCI)
Robotic rehabilitation for stroke and mobility recovery
AI-enabled adaptive therapy systems
Integration of robotics with physiotherapy and tele-rehabilitation
Practical Focus:
Participants design a conceptual prototype for an AI-driven rehabilitation robot.

Module 5: Robotics in Telemedicine and Remote Healthcare
Overview:
Examines how robotics enhances remote diagnosis, tele-surgery, and patient monitoring.
Key Topics:
Telepresence robots and remote consultations
Haptic communication and tactile internet in telesurgery
Remote patient monitoring systems with robotic support
Network and latency considerations (5G and edge computing)
Case studies: remote surgical systems and hospital delivery robots
Practical Focus:
Simulate a telepresence healthcare robot operation using a virtual collaboration platform.

Module 6: AI, Computer Vision, and Sensor Fusion in Healthcare Robotics
Overview:
Covers the integration of AI, perception, and learning systems in intelligent healthcare robots.
Key Topics:
Computer vision for object detection, tracking, and 3D mapping
Deep learning and neural networks for robotic perception
Sensor fusion for situational awareness (LiDAR, IMU, depth cameras)
Natural language processing for voice-interactive healthcare robots
AI-driven decision support systems in autonomous healthcare robotics
Practical Focus:
Develop a computer vision model for object recognition in a healthcare robotics context.

Module 7: Collaborative Robots (Cobots) and Human-Robot Interaction
Overview:
Explores safe and effective collaboration between humans and robots in healthcare environments.
Key Topics:
Characteristics and design of collaborative robots (cobots)
Motion planning and obstacle avoidance for patient safety
Human-robot ergonomics and user experience (UX)
Behavioral modeling and cognitive interaction frameworks
Applications in nursing, logistics, and laboratory automation
Practical Focus:
Participants design an HRI workflow for a hospital cobot assisting with medication delivery.

Module 8: Data Management, Cybersecurity, and System Reliability
Overview:
Focuses on protecting and managing sensitive healthcare data generated by robotic systems.
Key Topics:
Data acquisition, storage, and interoperability standards (FHIR, HL7)
Security threats in medical robotics and IoT integration
End-to-end encryption and authentication mechanisms
Reliability, redundancy, and failover strategies in robotic systems
Incident response and risk management in healthcare robotics
Practical Focus:
Conduct a risk assessment for a robotic-assisted surgical workflow and propose mitigation controls.

Module 9: Ethics, Regulation, and Policy in Medical Robotics
Overview:
Examines the ethical, legal, and regulatory considerations guiding the deployment of robotics in healthcare.
Key Topics:
Ethical frameworks for autonomous systems in patient care
Regulatory standards: FDA, ISO 13485, IEC 60601, and CE certification
Patient consent, data privacy, and accountability
Robotics liability and professional responsibility
Government policies and investment trends in healthcare automation
Practical Focus:
Review and critique an ethical case study involving AI-assisted robotic surgery.

Module 10: Future Trends and Capstone Project
Overview:
Analyzes emerging innovations and guides participants in developing a strategic implementation plan.
Key Topics:
Next-generation robotic technologies: swarm robotics, nanorobots, soft robotics
Integration with digital twins, AI, and IoT in healthcare systems
Robotics-as-a-Service (RaaS) business models in healthcare
Global market outlook and innovation opportunities
Designing hospital ecosystems powered by robotics and automation
Capstone Project:
Participants design a comprehensive proposal for implementing an advanced robotic solution in a healthcare setting (e.g., surgical assistance, rehabilitation center,
telemedicine, or hospital logistics), covering system architecture, AI integration, safety measures, and cost-benefit analysis.