CAP-AI is using routinely collected health care data and apply modern artificial intelligence (AI) techniques to create models which could be used to help hospital staff deal with patients admitted with community acquired pneumonia (CAP). The ultimate aim is to produce a deeper understanding of the role and potential of AI in predicting disease progression and produce one or more promising AI model(s) for predicting CAP outcome.
It builds on work done by Dr Free's group and Dr. Gerrit Woltmann a Respiratory Consultant, looking at how CAP admission outcome at the University Hospitals of Leicester NHS Trust was affected following the introduction of a nurse-led intervention.
References
- Lozano-Rojas D, Richardson M, Woltmann G, Free RC. Predicting community-acquired pneumonia outcome using time series data and machine learning. medRxiv 2025:2025.03.11.25323764. https://doi.org/10.1101/2025.03.11.25323764.
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Free RC, Richardson M, Pillay C, Hawkes K, Skeemer J, Broughton R, et al. Specialist pneumonia intervention nurse service improves pneumonia care and outcome. BMJ Open Respiratory Research 2021;8:e000863. https://doi.org/10.1136/bmjresp-2020-000863.
People
- Daniel Lozano Rojas - PhD student
- Gerrit Woltmann - Co-supervisor