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
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
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.