Pham, Tho D.
Stanford Medicine · Stanford University
6 papers on CoChatORCID 0000-0002-5900-0289
Most cited papers
- Verified
Defining the features and duration of antibody responses to SARS-CoV-2 infection associated with disease severity and outcome
Röltgen, K., Powell, A. E., Wirz, O. F., Stevens, B. A., Hogan, C. A., Najeeb, J., Hunter, M., Wang, H., Sahoo, M. K., Huang, C., et al. (2020) · Science Immunology
SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies
Cited by 452
- Verified
Proinflammatory IgG Fc structures in patients with severe COVID-19
Chakraborty, S., Gonzalez, J., Edwards, K., Mallajosyula, V., Buzzanco, A. S., Sherwood, R., Buffone, C., Kathale, N., Providenza, S., Xie, M. M., et al. (2021) · Nature Immunology
SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies
Cited by 326
- Verified
Holistic evaluation of large language models for medical tasks with MedHELM
Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 59
- Verified
Targeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study
Rabbani, N., Ma, S. P., Li, R. C., Winget, M., Weber, S., Boosi, S., Pham, T. D., Svec, D., Shieh, L., & Chen, J. H. (2023) · Clinical Biochemistry
Electronic Health Records SystemsHealthcare cost, quality, practices
Cited by 20
- Verified
SmartAlert: Integrating Machine Learning and Alert Triggers into Live Electronic Medical Record Systems, Targeting Low-Yield Inpatient Lab Tests
Jiang, Y., Ma, S. P., Liang, A. S., Kim, G., Acharya, A., Mony, S., Punnathanam, S., Makeown, J., Jose, J., Shieh, L., et al. (2026) · medRxiv
Machine Learning in HealthcareElectronic Health Records Systems
Cited by 1
- Verified
SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction
Liang, A. S., Amrollahi, F., Jiang, Y., Corbin, C. K., Kim, G. Y. E., Mui, D., Crowell, T., Acharya, A., Mony, S., Punnathanam, S., et al. (2026) · NEJM AI
Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education
Cited by 0
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free