Empowering medical professionals to master cutting-edge technology and seamlessly integrate AI into real-world clinical practice.
🏅 Endorsed by ESTRO 🏅 Accredited by EBAMP for 110 CPD Points
(Accreditation Code: APP00393)
About the Course
Artificial Intelligence (AI) is fundamentally reshaping healthcare, particularly in the domains of radiation oncology, treatment planning, and diagnostic imaging. Developed by the South Asia Centre for Medical Physics and Cancer Research (SCMPCR), this 3-month intensive online program is carefully structured for medical professionals, clinicians, medical physicists, and researchers. The course offers an in-depth exploration of AI—from machine learning and neural networks to robust data management practices, ensuring that all applications conform to the highest ethical standards for quality patient care.
Key Highlights
- International Faculty Engagement: Learn directly from certified experts and renowned global faculties from HICs & MICs.
- Intimate Learning Environment: Small batch size limited to a maximum of 20 participants for personalized mentorship.
- Flexible Remote Learning: Fully online format featuring 2 classes per week (1.5 hours each) designed for busy professionals.
- Real-World Application: Focus on mini-projects, practical case studies, and hands-on coding (Python & Google Colab) guided by dedicated Junior Mentors.
- Global Collaborations: Expand your professional network across South Asia and beyond.
Curriculum Overview
- Module 1: Introduction to AI in Medical Physics
- Module 2: Basics of AI and Machine Learning
- Module 3: AI Application and Data Lifecycle Management
- Module 4: From Data to Model Development
- Module 5: Process Optimization and Automation
- Module 6: Ethical and Regulatory Considerations
Course Details & Registration
- Target Audience: Medical physicists, radiation therapy professionals, clinical IT specialists, and oncology researchers.
- EQF Level: 7
- Duration: 3 Months (First Batch starting January 2027)
- Mode: Fully Online
- Registration Fee: 200 USD
- Registration Period: 15 September – 15 November 2026