Health research now has access to large and varied datasets, including clinical records, molecular data and imaging. This creates a need for methods that can handle and combine different types of information. Taskén showed how AI can support this work and contribute to identifying patterns that are difficult to detect with traditional approaches.
In healthcare services, the focus is more practical. AI can support clinical decision-making by making better use of available data. It can also be relevant for planning and operations, such as modelling activity levels, staffing needs and patient pathways.
Taskén also pointed to structural challenges. An ageing population and increasing demand for services will put pressure on the system. This makes more efficient use of data and resources necessary.
The seminar took place at the Science Library and brought together participants from across UiO.
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