Zic, John A.

Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model

Johnson, D., Goodman, R., Patrinely, J., Stone, C., Zimmerman, E., Donald, R., Chang, S., Berkowitz, S., Finn, A., Jahangir, E., et al. (2023) · Research Square

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 598

Accuracy and Reliability of Chatbot Responses to Physician Questions

Goodman, R. S., Patrinely, J. R., Stone, C. A., Zimmerman, E., Donald, R. R., Chang, S. S., Berkowitz, S. T., Finn, A. P., Jahangir, E., Scoville, E. A., et al. (2023) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 484

Basal Cell Skin Cancer, Version 1.2016, NCCN Clinical Practice Guidelines in Oncology

Bichakjian, C. K., Olencki, T., Aasi, S. Z., Alam, M., Andersen, J. S., Berg, D., Bowen, G. M., Cheney, R. T., Daniels, G. A., Glass, L. F., et al. (2016) · Journal of the National Comprehensive Cancer Network

Nonmelanoma Skin Cancer StudiesHedgehog Signaling Pathway Studies

Cited by 275

Whole-genome sequencing reveals oncogenic mutations in mycosis fungoides

McGirt, L. Y., Jia, P., Baerenwald, D. A., Duszynski, R. J., Dahlman, K. B., Zic, J. A., Zwerner, J. P., Hucks, D., Dave, U., Zhao, Z., et al. (2015) · Blood

Cutaneous lymphoproliferative disorders researchLymphoma Diagnosis and Treatment

Cited by 232

Photopheresis in the treatment of cutaneous T-cell lymphoma: current status

Zic, J. A. (2012) · Current Opinion in Oncology

Cutaneous lymphoproliferative disorders researchNonmelanoma Skin Cancer Studies

Cited by 25