Charpignon, Marie-Laure

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

Celi, L. A., Cellini, J., Charpignon, M.-L., Dee, E. C., Dernoncourt, F., Eber, R., Mitchell, W. G., Moukheiber, L., Schirmer, J., Situ, J., et al. (2022) · PLOS Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 576

Analysis of Discrepancies between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association with Organ Dysfunction and Mortality

Wong, A.-K. I., Charpignon, M., Kim, H., Josef, C., de Hond, A. A. H., Fojas, J. J., Tabaie, A., Liu, X., Mireles-Cabodevila, E., Carvalho, L., et al. (2021) · JAMA Network Open

Non-Invasive Vital Sign MonitoringHemodynamic Monitoring and Therapy

Cited by 268

Excess Mortality With Alzheimer Disease and Related Dementias as an Underlying or Contributing Cause During the COVID-19 Pandemic in the US

Chen, R., Charpignon, M.-L., Raquib, R. V., Wang, J., Meza, E., Aschmann, H. E., DeVost, M. A., Mooney, A., Bibbins-Domingo, K., Riley, A. R., et al. (2023) · JAMA Neurology

Dementia and Cognitive Impairment ResearchCOVID-19 and healthcare impacts

Cited by 40

Critical Bias in Critical Care Devices

Charpignon, M.-L., Byers, J., Cabral, S., Celi, L. A., Fernandes, C., Gallifant, J., Lough, M. E., Mlombwa, D., Moukheiber, L., Ong, B. A., et al. (2023) · Critical Care Clinics

Healthcare Technology and Patient MonitoringNon-Invasive Vital Sign Monitoring

Cited by 35

Who does the model learn from?

Charpignon, M.-L., Celi, L. A., & Samuel, M. C. (2021) · The Lancet Digital Health

Machine Learning in HealthcareOrgan Transplantation Techniques and Outcomes

Cited by 4