2 papers
cs.AI2025
Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
Junu Kim, Chaeeun Shim, Sungjin Park +16
Although large language models (LLMs) have demonstrated impressive reasoning capabilities across general domains, their effectiveness in real-world clinical practice remains limite…
cs.LG2024
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History
Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang +4
Machine learning (ML) has recently shown promising results in medical predictions using electronic health records (EHRs). However, since ML models typically have a limited capabili…