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Mentor Based

Innovations in AI for Diagnostic & Medical Devices

Revolutionizing Diagnostics with Cutting-Edge AI Technology

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 8 Weeks

About This Course

This specialized course is tailored for participants aiming to pioneer AI-driven innovations in the diagnostic and medical devices sector. Covering the fundamentals of AI and ML technologies, the course delves into their applications in diagnostics, imaging, wearable tech, and the regulatory landscape shaping these advancements.

Aim

The course covers the development, application, and regulatory aspects of AI in medical technology, emphasizing practical skills in designing and prototyping AI-powered devices.

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.

Program Structure

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

Who Should Enrol?

This course is intended for healthcare professionals, engineers, and students aiming to innovate in diagnostic and medical devices using AI.

Program Outcomes

  • Participants will master the fundamentals of AI technologies in diagnostics and medical devices, including computer vision and sensor data analysis.
  • Graduates will be capable of designing and developing AI-powered medical devices, from concept through prototyping, with a strong understanding of user-centered design principles.
  • Learners will gain insights into the regulatory landscape for AI medical devices, including GDPR, HIPAA, and FDA regulations, preparing them to navigate the approval processes effectively.
  • The course will enable professionals to take on roles such as AI and Machine Learning Engineer, Diagnostic Imaging Specialist, and Medical Device Software Developer, driving innovation in medical technology.

Fee Structure

Discounted: ₹21499 | $291

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • One-on-one project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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