Li-Ching Chen

I'm a PhD student in Computational Precision Health program at UC Berkeley and UCSF, where I am happily advised by Prof. Travis Zack and Prof. Atul Butte. I am interested in incorporating large language models into clinical workflow and aim to integrate subjective patient narratives into predictive modeling. My research currently focuses on building a foundation model for oncology using self-supervised learning.

Previously, I obtained my bachelor's in Computer Science from National Tsing Hua University, Taiwan, and was fortunately advised by Prof. Po-Chi Kuo.

Github  |   Google Scholar  |   LinkedIn 
liching_chen at berkeley dot edu

Publications

Assessing large language models for oncology data inference from radiology reports

Chen, Li-Ching; Zack, Travis; Demirci, Arda; Sushil, Madhumita; Miao, Brenda; Kasap, Corynn; Butte, Atul; Collisson, Eric A; Hong, Julian C
paper

Drop the shortcuts: image augmentation improves fairness and decreases AI detection of race and other demographics from medical images

Wang, Ryan; Kuo, Po-Chih; Chen, Li-Ching; Seastedt, Kenneth Patrick; Gichoya, Judy Wawira; Celi, Leo Anthony
eBioMedicine 2024
paper

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study

Wang, Ryan; Chen, Li-Ching; Moukheiber, Lama; Seastedt, Kenneth P; Moukheiber, Mira; Moukheiber, Dana; Zaiman, Zachary; Moukheiber, Sulaiman; Litchman, Tess; Trivedi, Hari; others
The Lancet Digital Health 2022
paper

Leveraging electronic health records for data science: common pitfalls and how to avoid them

Sauer, Christopher M; Chen, Li-Ching; Hyland, Stephanie L; Girbes, Armand; Elbers, Paul; Celi, Leo A
The Lancet Digital Health 2022
paper

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies

Wang, Ryan; Chen, Li-Ching; Moukheiber, Lama; Moukheiber, Mira; Moukheiber, Dana; Zaiman, Zach; Moukheiber, Sulaiman; Litchman, Tess; Seastedt, Kenneth; Trivedi, Hari; others
arXiv 2022
paper

AI recognition of patient race in medical imaging: a modelling study

Gichoya, Judy Wawira; Banerjee, Imon; Bhimireddy, Ananth Reddy; Burns, John L; Celi, Leo Anthony; Chen, Li-Ching; Correa, Ramon; Dullerud, Natalie; Ghassemi, Marzyeh; Huang, Shih-Cheng; others
The Lancet Digital Health 2022
paper

Chest x-ray segmentation images based on MIMIC-CXR

Chen, Li-Ching; Kuo, Po-Chih; Wang, Ryan; Gichoya, Judy; Celi, Leo Anthony
PhysioNet
dataset

Reading race: AI recognises patient's racial identity in medical images

Banerjee, Imon; Bhimireddy, Ananth Reddy; Burns, John L; Celi, Leo Anthony; Chen, Li-Ching; Correa, Ramon; Dullerud, Natalie; Ghassemi, Marzyeh; Huang, Shih-Cheng; Kuo, Po-Chih; others
arXiv 2021
paper