Jun 14, 2024 · The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their performance. Although there have been …

Mar 6, 2025 · As childhood cancer incidences rise, effective caregiver support becomes increasingly crucial. Yet non-expert caregivers often struggle to acquire accurate pediatric oncology knowledge, …

Jul 16, 2024 · This study explores the application of computational pathology to analyze pediatric brain tumors utilizing hematoxylin and eosin (H\\&E) and immunohistochemistry (IHC) histology images. …

Mar 27, 2025 · Foundation models (FMs) have shown impressive performance in medical image analysis tasks, but their deployment in real-world clinical settings, especially across diverse patient …

Workshop Topics In our workshop, we advocate for leveraging both traditional machine learning methods and cutting-edge generative AI algorithms, such as Large Language Models (LLMs), Vision …

Aug 18, 2025 · The rapid growth of Artificial Intelligence (AI) in healthcare has sparked interest in Trustworthy AI and AI Implementation Science, both of which are essential for accelerating clinical …

Abstract Large language models (LLMs) have demonstrated remarkable capabilities in lan-guage understanding and generation, leading to their widespread adoption across various fields. Among …

Mar 5, 2025 · Protein aggregation drives several neurological diseases and pediatric cancers, yet current inhibitors fail to directly target aggregating proteins or provide long-term disease modification....

To this effect, we evaluate the efficacy of pretrained LLMs as approximate sources of causal knowledge, focusing on two clinical studies in obstetrics and pediatric critical care. Specifically, we propose a …

Jun 6, 2024 · X-ray imaging is a cornerstone in medical diagnosis, constituting a significant portion of the radiation dose encountered by patients. Excessive radiation poses health risks, particularly for …