Chiou, Albert S.

Disparities in dermatology AI performance on a diverse, curated clinical image set

Daneshjou, R., Vodrahalli, K., Novoa, R. A., Jenkins, M., Liang, W., Rotemberg, V., Ko, J., Swetter, S. M., Bailey, E. E., Gevaert, O., et al. (2022) · Science Advances

Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education

Cited by 544

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

Development and clinical evaluation of an artificial intelligence support tool for improving telemedicine photo quality

Vodrahalli, K., Ko, J., Chiou, A. S., Novoa, R., Abid, A., Phung, M., Yekrang, K., Petrone, P., Zou, J., & Daneshjou, R. (2023) · JAMA Dermatology

Telemedicine and Telehealth ImplementationArtificial Intelligence in Healthcare and Education

Cited by 30

Repeat patch testing in a patient with allergic contact dermatitis improved on dupilumab

Zhu, G. A., Chen, J. K., Chiou, A., Ko, J., & Honari, G. (2019) · JAAD Case Reports

Contact Dermatitis and AllergiesDermatology and Skin Diseases

Cited by 24

Association between yearlong air pollution and moderate-severe atopic dermatitis: A United States cross-sectional claims analysis

Trinh, P., Allerup, J. A. C., Li, S., Ko, J., Chen, J., Linos, E., & Chiou, A. S. (2023) · JAAD International

Air Quality and Health ImpactsDermatology and Skin Diseases

Cited by 4