AI project

The aim is to aid clinical decision making using artificial intelligence (AI) to find critical information in electronic health records.

The goal in this project is to develop AI algorithms based on Natural Language Processing to find bleeding episodes reported in electronic health records. It will be developed based on extraction of relevant text from more than 300,000 electronic health records (unstructured data). When implemented, the algorithm can extract information on bleeding episodes from the patient medical record and the results will be reported to the medical doctor and patient in an easily understandable and relevant way.

The first part of the project proved that an artificial neural network can detect 98% of the bleeding episodes, and the next part of the project will develop a viable solution which can become part of daily clinical practice. The solution should be able to find indications of bleeding episodes, present a summary for the clinician and suggest measures.