Wongvibulsin, Shannon

An evaluation framework for clinical use of large language models in patient interaction tasks

Johri, S., Jeong, J., Tran, B. A., Schlessinger, D. I., Wongvibulsin, S., Barnes, L. A., Zhou, H.-Y., Cai, Z. R., Van Allen, E. M., Kim, D., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 201

Digital health intervention in acute myocardial infarction

Marvel, F. A., Spaulding, E. M., Lee, M. A., Yang, W. E., Demo, R., Ding, J., Wang, J., Xun, H., Shah, L. M., Weng, D., et al. (2021) · Circulation Cardiovascular Quality and Outcomes

Mobile Health and mHealth ApplicationsCardiac Health and Mental Health

Cited by 84

Current State of Dermatology Mobile Applications With Artificial Intelligence Features

Wongvibulsin, S., Yan, M. J., Pahalyants, V., Murphy, W., Daneshjou, R., & Rotemberg, V. (2024) · JAMA Dermatology

Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management

Cited by 69

Expanding personalized, data-driven dermatology: leveraging digital health technology and machine learning to improve patient outcomes

Wongvibulsin, S., Frech, T. M., Chren, M.-M., & Tkaczyk, E. R. (2022) · JID Innovations

Artificial Intelligence in Healthcare and EducationDermatology and Skin Diseases

Cited by 29