Innovations in AI for Diagnostic & Medical Devices
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.
Program 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.
Intended For:
This course is targeted at engineers, developers, researchers, and product managers working in or aspiring to join the medical devices and diagnostics industry. It is also suitable for regulatory affairs specialists and clinical informatics analysts interested in the application of AI within their fields.
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 (15 Hours)
- 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 (20 Hours)
- 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 (20 Hours)
- Overview of wearable health technologies
- Sensor data analysis using ML
- Real-time health monitoring and predictive analytics
MODULE 4
Data Security and Regulatory Compliance (15 Hours)
- 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 (15 Hours)
- Principles of design thinking in medical device development
- Prototyping AI solutions: From concept to prototype
- User-centered design and usability testing
MODULE 6
Capstone Project (15 Hours)
- Development of an AI-powered diagnostic tool or medical device
- Application of design, regulatory, and AI knowledge
- Presentation of prototypes and solutions to hypothetical or real-world problems
What You Will Get?
Program work is completed through online system under the guidance of program coordinator.
Various 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
Steps For Enrollment
Step-1
Click ‘Apply Here’ and fill in your basic details (Name, Email, Contact, Image).
Step-2
Select Program, Session, Duration, and Fill Payment Details in the Form to Submit.
Step-3
Hurray! You Will Get Your Login Credential Within 48 Hrs.
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.
