Norwegian version

Artificial intelligence in healthcare

At OsloMet we work on developing algorithms and models using machine learning tailored towards applications in medical research that will help to solve the challenges in the healthcare sector.

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:

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.

  • The AI in healthcare network at OsloMet

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  • More about Intelligent Health focus areas

    • Assistive technology

      Assistive technology, or in the Nordic context often called welfare technology, refers to tools and services that aim to improve quality of life and wellbeing.

    • Biotechnology

      Researchers at OsloMet work to develop methods and critically assess the usefulness of biomarkers in diagnostics and treatment, personalized medicine and large-scale analyses.

    • Intelligent Health focus areas

      Through collaborating across disciplines and sectors, we will ensure that research and innovation within health and technology remains user- and problem-oriented.

    • Omics technology

      OsloMet researchers and research groups apply different omics-technologies to study the molecules of life, how their variation affects their functions, how they are generated and decay.

    • Sensor technology in healthcare

      Sensors are devices that react and respond to various stimuli, such as biochemical, electrical, or mechanical signals. OsloMet uses and develops sensors to gather health related data.

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