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Published education catalogue

Artificial Intelligence for Health

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: DT8029

Foundations of AI in healthcare. Ethics of using health data, Machine Learning in Healthcare. Clinical interpretation of AI models. Time-series analysis of physiological data. Big health data and deep learning. Natural language processing of electronic health records. Healthcare in smart homes. Seminar on current and future trends in AI in healthcare.

Entry requirements

The course Data Mining 7.5 credits. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-02-26T08:54:45