Valley, Thomas S.

Racial bias in pulse oximetry measurement

Sjoding, M. W., Dickson, R. P., Iwashyna, T. J., Gay, S. E., & Valley, T. S. (2020) · New England Journal of Medicine

Non-Invasive Vital Sign MonitoringEthics and Social Impacts of AI

Cited by 1,114

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study

Jabbour, S., Fouhey, D., Shepard, S., Valley, T. S., Kazerooni, E. A., Banovic, N., Wiens, J., & Sjoding, M. W. (2023) · JAMA

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 236

Racial bias and reproducibility in pulse oximetry among medical and surgical inpatients in general care in the Veterans Health Administration 2013-19: multicenter, retrospective cohort study

Valbuena, V. S. M., Seelye, S., Sjoding, M. W., Valley, T. S., Dickson, R. P., Gay, S. E., Claar, D., Prescott, H. C., & Iwashyna, T. J. (2022) · BMJ

Non-Invasive Vital Sign MonitoringRace, Genetics, and Society

Cited by 127

Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19

Singh, K., Valley, T. S., Tang, S., Li, B. Y., Kamran, F., Sjoding, M. W., Wiens, J., Otles, E., Donnelly, J. P., Wei, M. Y., et al. (2021) · Annals of the American Thoracic Society

COVID-19 Clinical Research StudiesMachine Learning in Healthcare

Cited by 111

Evaluation of sepsis prediction models before onset of treatment

Kamran, F., Tjandra, D., Heiler, A., Virzi, J., Singh, K., King, J. E., Valley, T. S., & Wiens, J. (2024) · NEJM AI

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 74

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study

Kamran, F., Tang, S., Otles, E., McEvoy, D. S., Saleh, S. N., Gong, J., Li, B. Y., Dutta, S., Liu, X., Medford, R. J., et al. (2022) · BMJ

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 60