Problem-oriented patient record summary: An early report on a Watson application. - Murthy V. Devarakonda; Dongyang Zhang; Ching-Huei Tsou; Mihaela A. Bornea (Healthcom, 2014)

Automated Problem List Generation from Electronic Medical Records in IBM Watson. - Murthy V. Devarakonda; Ching-Huei Tsou (AAAI, 2015)

Toward Generating Domain-Specific / Personalized Problem Lists from Electronic Medical Records. - Ching-Huei Tsou; Murthy V. Devarakonda; Jennifer J. Liang (AAAI Fall Symposia, 2015)

Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned. - Jennifer J. Liang; Ching-Huei Tsou; Murthy V. Devarakonda (CRI, 2017)

Automated problem list generation and physicians perspective from a pilot study. - Murthy V. Devarakonda; Neil Mehta; Ching-Huei Tsou; Jennifer J. Liang; Amy S. Nowacki; John Eric Jelovsek (Int. J. Medical Informatics, 2017)

Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models. - Bharath Dandala; Venkata Joopudi; Ching-Huei Tsou; Jennifer J. Liang; Parthasarathy Suryanarayanan (AMIA, 2020)

Timely and Efficient AI Insights on EHR: System Design. - Parthasarathy Suryanarayanan; Edward A. Epstein; Abhishek Malvankar; Burn L. Lewis; Lou Degenaro; Jennifer J. Liang; Ching-Huei Tsou; Divya R. Pathak (AMIA, 2020)

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. - Parthasarathy Suryanarayanan; Ching-Huei Tsou; Ananya Poddar; Diwakar Mahajan; Bharath Dandala; Piyush Madan; Anshul Agrawal; Charles Wachira; Samuel Mogaka Osebe; Osnat Bar-Shira; Clifton Kipchirchir; Sharon Okwako; et al. (CoRR, 2020)

Exploring Effectiveness of Domain and Task-Adaptive Pretraining for Clinical Information Extraction. - Venkata Joopudi; Ananya Poddar; Bharath Dandala; Ching-Huei Tsou (AMIA, 2021)

Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. - Jennifer J. Liang; Ching-Huei Tsou; Bharath Dandala; Ananya Poddar; Venkata Joopudi; Diwakar Mahajan; John M. Prager; Preethi Raghavan; Michele Payne (AMIA, 2021)

Evaluating Social Determinants of Health in Clinical Communications Data. - Diwakar Mahajan; Jennifer J. Liang; Ananya Poddar; Sasha Ballen; Ching-Huei Tsou (AMIA, 2021)

Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. - Diwakar Mahajan; Jennifer J. Liang; Ching-Huei Tsou (AMIA, 2021)

Leveraging Transformer-based Sequential Sentence Models for Clinical Information Extraction. - Ananya Poddar; Venkata Joopudi; Bharath Dandala; Ching-Huei Tsou (AMIA, 2021)

Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. - Ching-Huei Tsou; Diwakar Mahajan; Jennifer J. Liang (AMIA, 2021)

IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization. - Diwakar Mahajan; Ching-Huei Tsou; Jennifer J. Liang (BioNLP@NAACL-HLT, 2021)

Hierarchy-aware Adverse Reaction Embeddings for Signal Detection. - Venkata Joopudi; Bharath Dandala; Ching-Huei Tsou; Jennifer J. Liang (AMIA, 2022)

Extracting medication changes in clinical narratives using pre-trained language models. - Giridhar Kaushik Ramachandran; Kevin Lybarger; Yaya Liu; Diwakar Mahajan; Jennifer J. Liang; Ching-Huei Tsou; Meliha Yetisgen; Özlem Uzuner (J. Biomed. Informatics, 2023)

Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes. - Diwakar Mahajan; Jennifer J. Liang; Ching-Huei Tsou; Özlem Uzuner (J. Biomed. Informatics, 2023)

BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models. - Bharath Dandala; Michael M. Danziger; Ella Barkan; Tanwi Biswas; Viatcheslav Gurev; Jianying Hu; Matthew Madgwick; Akira Koseki; Tal Kozlovski; Michal Rosen-Zvi; Yishai Shimoni; Ching-Huei Tsou (CoRR, 2025)

BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects. - Hongyang Li; Sanjoy Dey; Bum Chul Kwon; Michael M. Danziger; Michal Rosen-Tzvi; Jianying Hu; James Kozloski; Ching-Huei Tsou; Bharath Dandala; Pablo Meyer 001 (CoRR, 2025)