3 papers
cs.MA2026
CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation
Jierui Qu, Jiachuan Peng, Lin Li +2
Clinical diagnosis relies on consistent multimodal data collected from the same patient throughout the disease course, yet such data are difficult to acquire at scale because of co…
cs.CL2026
MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models
Boqi Chen, Xudong Liu, Jiachuan Peng +5
Multimodal large language models (MLLMs) have shown great potential in medical applications, yet existing benchmarks inadequately capture real-world clinical complexity. We introdu…
cs.CV2025
Recognizing Pneumonia in Real-World Chest X-rays with a Classifier Trained with Images Synthetically Generated by Nano Banana
Jiachuan Peng, Kyle Lam, Jianing Qiu
We trained a classifier with synthetic chest X-ray (CXR) images generated by Nano Banana, the latest AI model for image generation and editing, released by Google. When directly ap…