Wiens, Jenna

Do no harm: a roadmap for responsible machine learning for health care

Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., et al. (2019) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 1,266

Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology

Wiens, J., & Shenoy, E. S. (2018) · Clinical Infectious Diseases

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 574

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

AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence

Angus, D. C., Khera, R., Lieu, T., Liu, V., Ahmad, F. S., Anderson, B., Bhavani, S. V., Bindman, A., Brennan, T., Celi, L. A., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 195

A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

Wiens, J., Guttag, J., & Horvitz, E. (2014) · Journal of the American Medical Informatics Association

Clostridium difficile and Clostridium perfringens researchMachine Learning in Healthcare

Cited by 123

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

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure

Jabbour, S., Fouhey, D., Kazerooni, E., Wiens, J., & Sjoding, M. W. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 39

Moving Beyond the Model

Jain, S. S., Mortazavi, B. J., Chan You, S., Yao, X., Lam, C. S. P., Elias, P., Poterucha, T. J., Avram, R., Tison, G. H., Pirruccello, J., et al. (2025) · JACC

Clinical practice guidelines implementationHealth and Medical Research Impacts

Cited by 13