Jun 14, 2024 · To fill this gap, we construct PediaBench, the first Chinese pediatric dataset for LLM evaluation. Specifically, it contains 4,565 objective questions and 1,632 subjective questions …

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.

Jul 11, 2022 · In this work, we proposed a simple way of synthesizing catheters on X-ray images and a scale recurrent network for catheter detection. By training on adult chest X-rays, the proposed …

Yet non-expert caregivers often struggle to acquire accurate pediatric oncology knowledge, limiting their ability to provide effective care. To address this gap, we are developing a novel dataset that pairs …

Accepted by TMLR PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng …

A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients: an extended de Bruijn Graph Mert Onur Cakiroglu, HASAN KURBAN, Lilia Aljihmani, Khalid …

Publications Exploring the Impact of Supervised Multimodal Learning on the Performance and Explainability of Pediatric Brain Tumor Molecular Diagnosis Sara Ketabi, Matthias W. Wagner, …

Through an in-depth analysis of experimental results, we offer insights into the ability of LLMs to handle pediatric questions in the Chinese con-text, highlighting their limitations for further improvements.

His research focuses on two areas: creating digital models of pediatric clinical knowledge for AI, and improving real-time clinical decision-making for pediatric healthcare providers through innovative …

This study presents an AI Implementation case study within Shriners Children’s (SC), a large multisite pediatric system, showcasing the modernization of SC’s Research Data Warehouse (RDW) to …