MEDICAL TECHNOLOGIES – ARTIFICIAL INTELLIGENCE (AI) & MEDICAL ROBOTS
Harnessing AI and Robotics to Revolutionize Modern Healthcare
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 19 – 23 May 2025 | Dubai, UAE | USD 3495 per delegate |
Course Introduction
Artificial Intelligence and robotics are no longer futuristic tools—they are reshaping how healthcare is delivered, diagnosed, and managed. From robotic surgeries to AI-powered diagnostics and virtual care assistants, medical technologies are advancing precision, accessibility, and patient outcomes.
This 5-day course provides healthcare professionals and administrators with a comprehensive understanding of cutting-edge medical technologies. Participants will explore the latest AI applications in diagnostics and treatment, gain insights into robotic systems in surgery and rehabilitation, and examine regulatory, ethical, and implementation challenges.
Course Objectives
By the end of this course, participants will be able to:
• Understand AI technologies and their applications in diagnostics and treatment
• Evaluate the design and capabilities of current medical robotics systems
• Assess the impact of AI and robotics on clinical workflows and patient outcomes
• Identify implementation challenges, including data privacy and regulation
• Explore future trends in smart hospitals, telemedicine, and predictive analytics
Key Benefits of Attending
• Gain critical knowledge of emerging healthcare innovations
• Understand how AI and robotics improve care delivery and operational efficiency
• Explore real-world use cases of AI in diagnosis, triage, and patient monitoring
• Prepare for digital transformation in hospitals and healthcare systems
• Enhance your organization’s readiness for technology-driven healthcare models
Intended Audience
This program is designed for:
• Healthcare administrators and medical directors
• Clinical and biomedical engineers
• IT professionals in healthcare institutions
• Medical practitioners and hospital decision-makers
• Policy-makers and consultants in health technology innovation
Individual Benefits
Key competencies that will be developed include:
• Understanding of AI models and robotic systems in healthcare
• Ability to critically assess the value and risks of new medical technologies
• Knowledge of digital transformation strategies in clinical settings
• Familiarity with data-driven decision-making in patient care
• Skills in evaluating ethical, legal, and regulatory implications of medical A
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Improved decision-making for adopting and integrating medical AI/robotic systems
• Enhanced innovation readiness within the healthcare facility
• Greater compliance with data protection and healthcare technology regulations
• Optimized patient care through technology-enhanced practices
• Leadership in digital transformation and smart hospital initiatives
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – AI frameworks, robotics systems, and healthcare trends
• Case Studies – AI-driven diagnostics, robotic surgeries, virtual assistants
• Workshops – Designing implementation roadmaps for smart technologies
• Peer Exchange – Hospital innovation benchmarking and tech readiness
• Tools – AI models, decision matrices, risk frameworks, and ethical toolkits
Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of AI and Robotics in Healthcare
Module 1: Introduction to Medical AI & Robotics (07:30 – 09:30)
• Defining AI, machine learning, and robotics in healthcare context
• Evolution and landscape of health technology adoption
Module 2: Core Technologies and Algorithms (09:45 – 11:15)
• Neural networks, computer vision, NLP, and surgical robotics
• Hardware and software infrastructure requirements
Module 3: Regulatory & Ethical Frameworks (11:30 – 01:00)
• Patient privacy (GDPR, HIPAA), algorithmic bias, informed consent
Module 4: Workshop – Identify Use Cases (02:00 – 03:30)
• Mapping AI and robotics to your institution’s clinical needs
Day 2: AI Applications in Diagnostics & Patient Monitoring
Module 5: AI in Medical Imaging and Diagnostics (07:30 – 09:30)
• Cancer screening, radiology AI, pathology applications
Module 6: Predictive Analytics & Early Warning Systems (09:45 – 11:15)
• Risk scoring, sepsis detection, and patient deterioration alerts
Module 7: Virtual Health Assistants and NLP in Care (11:30 – 01:00)
• Chatbots, voice assistants, and decision support systems
Module 8: Workshop – Evaluate Diagnostic AI Tools (02:00 – 03:30)
• Hands-on with real datasets and AI platforms
Day 3: Medical Robotics – Applications and Design
Module 9: Robotic Surgery and Automation (07:30 – 09:30)
• Minimally invasive surgery systems (e.g., Da Vinci)
• Setup, control, and capabilities
Module 10: Rehabilitation and Assistive Robots (09:45 – 11:15)
• Exoskeletons, prosthetics, mobility aids
Module 11: Pharmacy and Logistics Robots (11:30 – 01:00)
• Automated drug dispensing, delivery bots, sanitation robotics
Module 12: Workshop – Assessing Robotic Systems (02:00 – 03:30)
• Cost-benefit and implementation readiness assessments
Day 4: Implementation and Operational Integration
Module 13: Digital Hospital Infrastructure (07:30 – 09:30)
• IoT, 5G, cloud systems, EHR integration for AI use
Module 14: Workforce Transformation & Training (09:45 – 11:15)
• Preparing staff for AI/robot use, change management
Module 15: Procurement and Vendor Selection (11:30 – 01:00)
• Tech evaluation, contract structuring, vendor partnerships
Module 16: Workshop – Build Your Technology Roadmap (02:00 – 03:30)
• Step-by-step action plan for AI/robot implementation
Day 5: Strategy, Innovation & Future Trends
Module 17: Global Trends in Medical AI & Robotics (07:30 – 09:30)
• What’s next: precision health, wearable diagnostics, nanorobots
Module 18: Business Models and ROI Measurement (09:45 – 11:15)
• Value creation, cost reduction, patient outcome metrics
Module 19: Risk Mitigation & Cybersecurity in Smart Systems (11:30 – 01:00)
• Protecting health data and device security protocols
Module 20: Final Workshop – Innovation Strategy Simulation (02:00 – 03:30)
• Group simulation of AI/robot deployment plan in a hospital setting
Certification
Participants will receive a Certificate of Completion in Medical Technologies – Artificial Intelligence (AI) & Medical Robots, validating their knowledge of healthcare innovation, and readiness to lead or support AI/robotics integration in clinical environments.