Young, Albert T.

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review

Young, A. T., Amara, D., Bhattacharya, A., & Wei, M. L. (2021) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 400

Artificial Intelligence in Dermatology: A Primer

Young, A. T., Xiong, M., Pfau, J., Keiser, M. J., & Wei, M. L. (2020) · Journal of Investigative Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 249

Association of Wildfire Air Pollution and Health Care Use for Atopic Dermatitis and Itch

Fadadu, R. P., Grimes, B., Jewell, N. P., Vargo, J., Young, A. T., Abuabara, K., Balmes, J. R., & Wei, M. L. (2021) · JAMA Dermatology

Air Quality and Health ImpactsDermatology and Skin Diseases

Cited by 120

Multisystem Analysis of Mycobacterium tuberculosis Reveals Kinase-Dependent Remodeling of the Pathogen-Environment Interface

Carette, X., Platig, J., Young, D. C., Helmel, M., Young, A. T., Wang, Z., Potluri, L.-P., Moody, C. S., Zeng, J., Prisic, S., et al. (2018) · mBio

Tuberculosis Research and EpidemiologyBacterial Genetics and Biotechnology

Cited by 65

The role of technology in melanoma screening and diagnosis

Young, A. T., Vora, N. B., Cortez, J., Tam, A., Yeniay, Y., Afifi, L., Yan, D., Nosrati, A., Wong, A., Johal, A., et al. (2021) · Pigment Cell & Melanoma Research

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 60