FEMH AI Research Team

Advancing Medical Artificial Intelligence at Far Eastern Memorial Hospital

🔬 Explore Our Research

About Far Eastern Memorial Hospital

A leading medical institution committed to excellence in healthcare and research

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Excellence in Healthcare

Far Eastern Memorial Hospital has been serving the community for over three decades, providing comprehensive medical care with state-of-the-art facilities and cutting-edge technology. Our commitment to patient-centered care has made us one of Taiwan's most trusted healthcare institutions.

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Research & Innovation

Our hospital is at the forefront of medical research. We collaborate with leading universities and research institutions to advance medical knowledge and improve patient outcomes.

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AI-Driven Future

The FEMH AI Research Team represents our commitment to integrating artificial intelligence into clinical practice. We focus on developing AI solutions that enhance diagnostic accuracy, streamline clinical workflows, and ultimately improve patient care quality.

Publications & Research

Our latest contributions to the field of medical artificial intelligence

ACL'25 Industry Track

MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation

Hsin-Ling Hsu*, Cong-Tinh Dao*, Luning Wang, Zitao Shuai, Nguyen Minh Thao Phan, Jun-En Ding, Chun-Chieh Liao, Pengfei Hu, Xiaoxue Han, Chih-Ho Hsu, Dongsheng Luo, Wen-Chih Peng, Feng Liu, Fang-Ming Hung, Chenwei Wu

A novel framework that structures LLM reasoning to align with real-life clinician workflows using SOAP methodology. Our two-stage approach significantly outperforms baseline methods in both assessment accuracy and treatment plan quality.

CIKM'24

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models

Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng

A comprehensive multimodal framework for EHR data fusion that combines masked lab-test modeling with large language models to improve clinical prediction tasks and enhance healthcare decision-making processes.

CIKM'24

EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models

Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung

An innovative mobile and web platform that leverages large language multimodal models for chronic disease risk prediction, providing accessible and accurate health assessment tools for both healthcare providers and patients.