Virtual (Google Meet)
Self Paced
Moderate
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 CurrenciesBatches
Live
Certificate
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
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading