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Self Paced

Innovations in AI for Diagnostic & Medical Devices

Revolutionizing Diagnostics with Cutting-Edge AI Technology

Enroll now for early access of e-LMS

MODE
Virtual (Google Meet)
TYPE
Self Paced
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

Participant’s Eligibility

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

Standard Fee:           INR 10,998           USD 198

Discounted Fee:       INR 5499             USD 99

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

Batches

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 50 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Job Opportunities

  • AI and Machine Learning Engineer (Medical Devices)
  • Biomedical Data Scientist
  • Diagnostic Imaging Specialist
  • Medical Device Software Developer
  • AI Research Scientist (Healthcare Applications)
  • Regulatory Affairs Specialist (AI and Medical Devices)
  • Product Manager (AI Medical Devices)
  • Clinical Informatics Analyst
  • Wearable Technology Designer
  • Healthcare AI Ethics and Compliance Officer

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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AVANEENDRA TALWAR : 2024-10-03 at 3:06 pm

no feedbacks; this workshop is great


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Good work


Alex Kumi Frimpong : 2024-10-01 at 2:50 pm

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