Zhang, Angela

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.

Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023) · Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 597

Shifting machine learning for healthcare from development to deployment and from models to data

Zhang, A., Xing, L., Zou, J., & Wu, J. C. (2022) · Nature Biomedical Engineering

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 420

An automated framework for assessing how well LLMs cite relevant medical references

Wu, K., Wu, E., Wei, K., Zhang, A., Casasola, A., Nguyen, T., Riantawan, S., Shi, P., Ho, D., & Zou, J. (2025) · Nature Communications

Artificial Intelligence in Healthcare and EducationInformation Retrieval and Search Behavior

Cited by 72

How well do LLMs cite relevant medical references? An evaluation framework and analyses

Wu, K., Wu, E., Cassasola, A., Zhang, A., Wei, K., Nguyen, T., Riantawan, S., Riantawan, P. S., Ho, D. E., & Zou, J. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 41

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

Silberg, J., Swanson, K., Simon, E., Zhang, A., Ghazizadeh, Z., Ogden, S., Hamadeh, H., & Zou, J. (2024) · neural information processing systems

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 9