NeSy for Primary Lymphoedema

The project aims to develop an AI system to assist in diagnosing primary lymphoedema, a condition causing chronic swelling due to lymphatic system defects. Diagnosis currently uses lymphoscintigraphy, an imaging technique where a radioactive tracer shows how lymph fluid moves, as shown above for a healthy control. While scans reveal distinct patterns in different patient groups, interpreting them accurately requires expert review.

In research funded by St Georges Hospital Charity, and in collaboration with Medical Research Council (MRC) and British Heart Foundation (BHF) funded researchers, key image features will be identified to help classify scans. A neurosymbolic AI approach will be used to combine pattern recognition with symbolic reasoning to make the system both more accurate and interpretable, reasoning about anatomical structures in ways similar to human experts.