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Found 6 papers, 0 papers with code
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
The escalating integration of machine learning in high-stakes fields such as healthcare raises substantial concerns about model fairness.
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties
Conclusions This study established that a RAG-LLM based CDSS significantly boosts the accuracy of medication error identification when used alongside junior pharmacists (co-pilot), with notable improvements in detecting severe DRPs.
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
Compared to the human-generated instructions, which had an accuracy of 86. 3%, the performance of the GPT4. 0 RAG model demonstrated non-inferiority (p=0. 610).
Cluster trajectory of SOFA score in predicting mortality in sepsis
Sequential Organ Failure Assessment (SOFA) score is commonly used to assess organ dysfunction and predict ICU mortality, but it is taken as a static measurement and fails to capture dynamic changes.
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering
Our research demonstrates the effectiveness of using UMLS-augmented LLMs and highlights the potential application value of LLMs in in medical question-answering.
