Artificial intelligence in healthcare

Artificial intelligence (AI) is an information technology which adjusts its own activity and combines computer science and datasets. AI in the health industry uses technology to enable health advantages, which is in line with the goals of the Intelligent Health initiative. 

Advances in AI, especially with the development of new foundational models, show great adaptability in medicine: they can harness large datasets where available, and prove valuable in areas with less data.

This versatility not only elevates the capabilities of hospitals, caretakers, and patients but also empowers health professionals by automating repetitive tasks and refining decision-making processes.

Artificial intelligence at OsloMet

Techniques studied by AI-researchers at OsloMet range from machine learning methods such as deep learning and learning algorithms to unconventional computing and quantum computing.

These techniques can be applied in different medical fields to help solving challenges in hospital administrative support, medical diagnostic and treatment, patient care, logistic support, image analysis and personalized treatment.

The AI network at OsloMet is among other topics involved in:

• Cancer therapy research
• Mental health
• Metagenomics
• Eye-tracking technology
• Diagnosis of mild cognitive impairment

The researchers collaborate nationally and internationally with hospitals, other universities, clinical institutes, and research laboratories, aiming to actively develop novel AI-based algorithms and tools within the health sector.