selected publications

Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, and Honghan Wu. “Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.” arXiv preprint arXiv:2312.12989 (2023). arXiv:2312.12989

Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina Ibrahim, Paul Taylor, Michelle C. Williams, and Honghan Wu. “Exploring Multimodal Large Language Models for Radiology Report Error-checking.” arXiv preprint arXiv:2312.13103 (2023). arXiv:2312.13103

Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, and Malcolm Sim. “The impact of inconsistent human annotations on AI driven clinical decision making.” npj Digital Medicine 6, 26 (2023). DOI:10.1038/s41746-023-00773-3 .

Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, et al. “A Survey on Clinical Natural Language Processing in the United Kingdom from 2007 to 2022”. npj Digital Medicine 5, 186 (2022). DOI:10.1038/s41746-022-00730-6 .

Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, JiaoyanChen & Honghan Wu. “Automated Clinical Coding - What, Why, and Where We Are.” npj Digital Medicine 5, 159 (2022). DOI:10.1038/s41746-022-00705-7 .

Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild. “Quantifying Health Inequalities Induced by Data and AI Models”. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Special Track on AI for Good. Vienna 23-29 July, 2022. IJCAI-Proceedings, preprint, slides, recording, repo.

recent publications (2017 ~)