Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). - Jason A. Thomas; Randi E. Foraker; Noa Zamstein; Jon D. Morrow; Philip R. O. Payne; Adam B. Wilcox; Melissa A. Haendel; Christopher G. Chute; Kenneth R. Gersing; Anita Walden; Tellen D. Bennett; David A. Eichmann; et al. (J. Am. Medical Informatics Assoc., 2022)

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. - Giridhar Kaushik Ramachandran; Yujuan Fu; Bin Han; Kevin Lybarger; Nicholas J. Dobbins; Özlem Uzuner; Meliha Yetisgen (ClinicalNLP@ACL, 2023)

ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. - Wen-wai Yim; Yujuan Fu; Asma Ben Abacha; Neal Snider; Thomas Lin; Meliha Yetisgen (CoRR, 2023)

Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction. - Asma Ben Abacha; Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Fei Xia 004; Meliha Yetisgen (ClinicalNLP@NAACL, 2024)

Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation. - Wen-wai Yim; Asma Ben Abacha; Yujuan Fu; Zhaoyi Sun; Fei Xia 004; Meliha Yetisgen; Martin Krallinger (ClinicalNLP@NAACL, 2024)

Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Johannes Rückert; Asma Ben Abacha; Alba García Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia Sabrina Schmidt; Tabea Margareta Grace Pakull; et al. (CLEF (2), 2024)

Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology. - Wen-wai Yim; Asma Ben Abacha; Yujuan Fu; Zhaoyi Sun; Meliha Yetisgen; Fei Xia 004 (CLEF (Working Notes), 2024)

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. - Yujuan Fu; Giridhar Kaushik Ramachandran; Nicholas J. Dobbins; Namu Park; Michael Leu; Abby R. Rosenberg; Kevin Lybarger; Fei Xia 004; Özlem Uzuner; Meliha Yetisgen (LREC/COLING, 2024)

To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability. - Wen-wai Yim; Yujuan Fu; Asma Ben Abacha; Meliha Yetisgen (LREC/COLING, 2024)

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology. - Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Asma Ben Abacha; Meliha Yetisgen; Fei Xia 004 (MICCAI (5), 2024)

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning. - Yujuan Fu; Giridhar Kaushik Ramachandran; Namu Park; Kevin Lybarger; Fei Xia 004; Özlem Uzuner; Meliha Yetisgen (CoRR, 2024)

CACER: Clinical concept Annotations for Cancer Events and Relations. - Yujuan Fu; Giridhar Kaushik Ramachandran; Ahmad Halwani; Bridget T. McInnes; Fei Xia 004; Kevin Lybarger; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2024)

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes. - Asma Ben Abacha; Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Meliha Yetisgen; Fei Xia 004; Thomas Lin (ACL (Findings), 2025)

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions. - Yujuan Fu; Özlem Uzuner; Meliha Yetisgen; Fei Xia 004 (NAACL (Findings), 2025)