Peng, Yifan

EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension

Kang, T., Sun, Y., Kim, J. H., Ta, C., Perotte, A., Schiffer, K., Wu, M., Zhao, Y., Moustafa-Fahmy, N., Peng, Y., et al. (2023) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 14

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality

Lee, H. G., Sholle, E., Beecy, A., Al’Aref, S., & Peng, Y. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 7

UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation

Wu, L., Nie, Y., He, S., Zhuang, J., Luo, L., Li, T., Xie, Z., Chen, D., Zhao, Y., Mahboobani, N., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 6

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

Lin, Y., Ding, Y., Wu, Y., & Peng, Y. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 5

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care

Wu, X., Garduno-Rapp, N. E., Rousseau, J. F., Thakkallapally, M., Zhang, H., Ji, Y., Visweswaran, S., Peng, Y., & Wang, Y. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1