BU Research Blog

On Wednessday 30’th of October, The Centre for Applied Creative Technologies (CfACTs)  arranged a workshop for AI Research Academics as part of the BFX-2024 Festival in Bournemouth.

BFX Festival is an annual conference that takes place in Bournemouth and Hilton Bournemouth through this week and since 28’th of October until 2nd of November.

Among the works presented during that session, the most-recent advances in Natural Language Processing application for marking medical images, presented by Dr. Nicolay Rusnachenko.

The purpose and keypont of the talk were as follows:

✅ Showcase the potentials of NLP appliaction in processing textual narratives ✍ via GenAI #ChatGPT and other systems capable for the detailed explanation, necessary for High Quality data collection and further development the domain-oriented LLM. The following figure below showcases the importance on NLP application for processing medical narratives of liver-related MRI/CT scan series, such as one mentioned in "Series Descriptions" of the DICOM metadata.

✅ Propose the concept of the end-to-end solution for uniting automatic series understanding and assessing manually written narratives by novice practitioners ‍⚕️ using the GenAI as the Core Framework. The figure below illustrates the back-end and front-end components of the related system that serve with individual direction of scientific studies dedicated for enhancing domain oriented GenAI framework.

These advances were achieved while at Centre for Applied Creative Technologies CfACTs+ by working on “Marking Medical Image Reports Automatically with Natural Language Processing (NLP-MMI)” project.

Dr. Nicolay Rusnachenko
Research Fellow at Centre For Applied Creative Technologies PLUS (CFACT+)
Bournemouth University