Program Objectives:

• Master the fundamentals and applications of AI and machine learning in the development of medical devices and diagnostics.
• Acquire skills in computer vision, image processing, and sensor data analysis for use in medical diagnostics.
• Develop competency in designing and prototyping AI-powered medical devices, with an emphasis on user-centered design.
• Understand the regulatory landscape, including GDPR, HIPAA, and FDA regulations, for AI-powered devices in healthcare.
• Prepare for the innovation and advancement of medical technologies through practical applications and real-world case studies.

What you will learn?

MODULE 1 : Introduction to AI in Medical Devices

• Overview of AI and its significance in medical devices
• Understanding medical device classifications
• Historical advancements and the future of AI in medical diagnostics

MODULE 2 : AI Technologies in Diagnostics and Imaging

• Fundamentals of computer vision and image processing
• AI applications in radiology, pathology, and ophthalmology
• Case studies: AI in MRI, CT scans, and X-rays

MODULE 3 : AI in Wearable Devices and Remote Monitoring

• Overview of wearable health technologies
• Sensor data analysis using ML
• Real-time health monitoring and predictive analytics

MODULE 4 : Data Security and Regulatory Compliance

• Understanding GDPR, HIPAA, and FDA regulations for AI-powered devices
• Ensuring data privacy and security in medical devices
• Navigating regulatory approval processes for AI medical devices

MODULE 5 : Designing and Prototyping AI Medical Devices

• Principles of design thinking in medical device development
• Prototyping AI solutions: From concept to prototype
• User-centered design and usability testing