Purkayastha, Saptarshi

AI recognition of patient race in medical imaging: a modelling study

Gichoya, J. W., Banerjee, I., Bhimireddy, A. R., Burns, J. L., Celi, L. A., Chen, L.-C., Correa, R., Dullerud, N., Ghassemi, M., Huang, S.-C., et al. (2022) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 611

Ethics of large language models in medicine and medical research

Li, H., Moon, J. T., Purkayastha, S., Celi, L. A., Trivedi, H., & Gichoya, J. W. (2023) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 286

AI pitfalls and what not to do: mitigating bias in AI

Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., Seyyed-Kalantari, L., Trivedi, H., & Purkayastha, S. (2023) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 277

Know thy eHealth user: development of biopsychosocial personas from a study of older adults with heart failure

Holden, R. J., Kulanthaivel, A., Purkayastha, S., Goggins, K. M., & Kripalani, S. (2017) · International Journal of Medical Informatics

Persona Design and ApplicationsTechnology Use by Older Adults

Cited by 131

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence

Tariq, A., Purkayastha, S., Padmanaban, G. P., Krupinski, E., Trivedi, H., Banerjee, I., & Gichoya, J. W. (2020) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 63

Risks and Benefits of AI-generated Text Summarization for Expert Level Content in Graduate Health Informatics

Merine, R., & Purkayastha, S. (2022) · 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 16

MedShift: identifying shift data for medical dataset curation

Guo, X., Gichoya, J. W., Trivedi, H., Purkayastha, S., & Banerjee, I. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 2