Innovations in AI for Diagnostic & Medical Devices

Revolutionizing Diagnostics with Cutting-Edge AI Technology

Explore

Enroll now for early access of e-LMS

MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
8 Weeks

About

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

Intended For

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.

Mentors

AI Mentor

Rajnish Tandon

Bodhi Nexus (Founder)

Biography

AI Mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography

AI Mentor

J. T. Sibychen

Cyber and Cloud Security Trainer

NIIT Foundation

Biography

More Mentors

Fee Structure

Fee: INR 21,499 USD 291

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies