MIRA: Medical Imaging Research and AI
Medical Imaging Research and AI
Medical imaging is one of the major breakthroughs that has changed clinical medicine in the past millennium. It has changed the way physicians think, manage and treat medical conditions, and is directly linked to greater life expectancy.
Artificial intelligence (AI) and machine learning is the next medical imaging paradigm, with:
- Improved acquisition schemes for higher frame rates and improved image quality.
- Robust image analysis for improved workflow, automated measurements, and data mining.
- Computer-aided diagnosis for more accurate medicine, utilising the current and future wealth of digitised information.
The GEMINI centre MIRA: Medical Imaging Research and AI is established in Trondheim to gather the strong academic and clinical groups working with medical image analysis at NTNU, St. Olavs hospital and SINTEF. Our focus is on AI applications for MR, ultrasound and CT imaging, where Trondheim-based research groups are in the forefront nationally and internationally, but also on applications with a clear synergy potential such as digital pathology. The long-term aim is to make an impact for patients and health care providers by developing, validating and implementing viable AI solutions for medical imaging.
The Gemini collaboration
The Gemini Centre MIRA is a joint initiative by NTNU, SINTEF and St. Olavs hospital.
Gemini centres are a model for strategic cooperation between NTNU, SINTEF, University of Oslo, St. Olavs hospital and NTNU Social Research.
Affiliated research projects
- AiCAN: Artificial intelligence and digital pathology in CANcer
- 180°N - Norwegian Nuclear Medicine Concortium
- Proviz: Prostate cancer visualization by MRI – Improved diagnostics using artificial intelligence
- Decision support in lung cancer diagnostics
- IDEAR: Improving Cancer Diagnostics in Flexible Endoscopy Using Artificial Intelligence and Medical Robotics
- AI-Dentify: AI-based analytics of dental images
- FLIP.AI: Federated Learning to Improve Prostate cancer imaging with Artificial Intelligence