Linos, Eleni

Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health

Miner, A. S., Milstein, A., Schueller, S., Hegde, R., Mangurian, C., & Linos, E. (2016) · JAMA Internal Medicine

Digital Mental Health InterventionsArtificial Intelligence in Healthcare and Education

Cited by 368

Calcium Plus Vitamin D Supplementation and the Risk of Nonmelanoma and Melanoma Skin Cancer: Post Hoc Analyses of the Women's Health Initiative Randomized Controlled Trial

Tang, J. Y., Fu, T., LeBlanc, E., Manson, J. E., Feldman, D., Linos, E., Vitolins, M. Z., Zeitouni, N. C., Larson, J., & Stefanick, M. L. (2011) · Journal of Clinical Oncology

Vitamin D Research StudiesNonmelanoma Skin Cancer Studies

Cited by 117

Sun protective behaviors and vitamin D levels in the US population: NHANES 2003–2006

Linos, E., Keiser, E., Kanzler, M., Sainani, K. L., Lee, W., Vittinghoff, E., Chren, M.-M., & Tang, J. Y. (2012) · Cancer Causes & Control

Vitamin D Research StudiesSkin Protection and Aging

Cited by 113

Hat, shade, long sleeves, or sunscreen? Rethinking US sun protection messages based on their relative effectiveness

Linos, E., Keiser, E., Fu, T., Colditz, G., Chen, S., & Tang, J. Y. (2011) · Cancer Causes & Control

Skin Protection and AgingNonmelanoma Skin Cancer Studies

Cited by 97

Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis

Krakowski, I., Kim, J., Cai, Z. R., Daneshjou, R., Lapins, J., Eriksson, H., Lykou, A., & Linos, E. (2024) · npj Digital Medicine

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 87

Reliability and prevalence of digital image skin types in the United States: Results from National Health and Nutrition Examination Survey 2003-2004

Keiser, E., Linos, E., Kanzler, M., Lee, W., Sainani, K. L., & Tang, J. Y. (2012) · Journal of the American Academy of Dermatology

Cutaneous Melanoma Detection and ManagementSkin Protection and Aging

Cited by 20

Assessing the performance of artificial intelligence models in evaluating inflammatory skin disease severity: a systematic review and meta-analysis

Cai, Z. R., Kim, J., Rezaei, S. J., Chen, M. L., Touma, F., Zhu, C., Onyeka, S., Fonjungo, F., Omiye, J. A., Krakowski, I., et al. (2025) · British Journal of Dermatology

Artificial Intelligence in Healthcare and EducationDermatology and Skin Diseases

Cited by 8

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