4 papers
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…
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…
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…
Emerging Cyber Attack Risks of Medical AI Agents
Jianing Qiu, Lin Li, Jiankai Sun +4
Large language models (LLMs)-powered AI agents exhibit a high level of autonomy in addressing medical and healthcare challenges. With the ability to access various tools, they can…