5 Jul 2024
Developed by a team of four students from Singapore Polytechnic's DAAA course, caduceus is an innovative LLM-based system designed to optimize radiology workflows, acting as a "copilot for doctors". Our project earned first place in the Junior Category at the HPC AI Innovation Challenge organized by National Supercomputing Centre (NSCC) Singapore.
Caduceus addresses a critical need in Singapore's healthcare sector by assisting radiologists in making faster and more accurate diagnoses.
Leveraging the power of ASPIRE 2A, one of Southeast Asia's most advanced supercomputers, we fine-tuned Llama3 on over 2 million medical notes from the MIMIC-III dataset. Our solution offers:
Our pitch deck slides can be viewed here