3 papers
cs.CL2024
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
Sumera Anjum, Hanzhi Zhang, Wenjun Zhou +3
Large language models (LLMs) have significantly advanced natural language processing tasks, yet they are susceptible to generating inaccurate or unreliable responses, a phenomenon…
eess.IV2024
Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans
Tyler Morris, Ziming Liu, Longjian Liu +1
As the number of dementia patients rises, the need for accurate diagnostic procedures rises as well. Current methods, like using an MRI scan, rely on human input, which can be inac…
cs.LG2024
Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach
Ziming Liu, Longjian Liu, Robert E. Heidel +1
This article uses machine learning (ML) and explainable artificial intelligence (XAI) techniques to investigate the relationship between nutritional status and mortality rates asso…