We are excited to announce that our work on 'MedXpert-CAD', an innovative AI-based clinical image analysis system, has been highlighted in the latest Sejong University newsletter.
MedXpert-CAD leverages a large language model (LLM) to analyze clinical images and LSS DICOM Volume through an interactive chatbot. The system employs an evidence-centered diagnostic workflow and features a multi-agent supervisor framework, including an online search agent, an X-ray expert agent, and an LSS expert agent. This architecture is designed to optimize diagnostic accuracy and efficiency in medical image analysis.
To learn more about 'MedXpert-CAD' and its capabilities, you can read the full article in the Sejong University newsletter here: Sejong University Newsletter We would like to express our gratitude to Saied Salem and Hyun-wook Kwon for their dedicated work on this project.
We thank Professor Mugahed A. Al-antari for his guidance and leadership.