AI in Medical Imaging and Diagnostics: Current Trends and Challenges
Master Computer Vision, Image Segmentation, and Deep Learning for Disease Detection and Medical Diagnostics
- Certificate from E&ICT Academy, IIT Kanpur upon course completion
- 40 hours of expert-led live sessions and hands-on training with real-world medical data
- Learn AI techniques applied to healthcare, imaging, and diagnostic systems
Select Mode:
Faculty Development Program
Online Live
40 Hours
What you'll learn
- Understand the fundamentals of AI, image processing, and their applications in healthcare
- Build, train, and evaluate deep learning models for disease detection using medical images
- Learn medical image segmentation and enhancement techniques to improve diagnostic outcomes
- Use tools like ChatGPT, Gemini, and other healthcare-focused AI platforms for research and virtual assistant applications
- Explore AI in early disease prediction, virtual health assistants, and personalized diagnostics
- Apply ethical principles and analyze challenges in AI-driven healthcare systems
Skills you'll gain
Tools





Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Learn from Top Healthcare AI Experts
Led by experienced faculty from IITs and healthcare AI specialists, this course offers insights into real-world diagnostic innovations and imaging analysis.
Hands-On, Case-Based Projects
Work directly with medical images (X-rays, MRIs, CT scans) to build classification and detection models using segmentation and vision techniques.
Practical AI for Healthcare Readiness
Gain technical and ethical knowledge to apply AI in diagnostics, patient care, and health-tech research with industry relevance.
Live + Recorded Learning Format
Live instructor-led sessions supplemented by recordings, resources, and toolkits to enable flexible self-paced review.
Get Certified by E&ICT Academy, IIT Kanpur
Boost your professional credibility with a certificate from one of India’s top-tier technology institutions.