Liu, Vincent X.

Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Seymour, C. W., Liu, V. X., Iwashyna, T. J., Brunkhorst, F. M., Rea, T. D., Scherag, A., Rubenfeld, G., Kahn, J. M., Shankar-Hari, M., Singer, M., et al. (2016) · JAMA

Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways

Cited by 3,939

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

The timing of early antibiotics and hospital mortality in sepsis.

Liu, V. X., Fielding-Singh, V., Greene, J. D., Baker, J. M., Iwashyna, T. J., Bhattacharya, J., & Escobar, G. J. (2017) · American Journal of Respiratory and Critical Care Medicine

Sepsis Diagnosis and TreatmentAntibiotics Pharmacokinetics and Efficacy

Cited by 1,006

Characteristics of Hospitalized Adults With COVID-19 in an Integrated Health Care System in California

Myers, L. C., Parodi, S. M., Escobar, G. J., & Liu, V. X. (2020) · JAMA

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 467

Ambient artificial intelligence scribes to alleviate the burden of clinical documentation.

Tierney, A. A., Gayre, G., Hoberman, B., Mattern, B., Ballesca, M., Kipnis, P., Liu, V., & Lee, K. (2024) · NEJM Catalyst

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 400

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

Escobar, G. J., Liu, V. X., Schuler, A., Lawson, B., Greene, J. D., & Kipnis, P. (2020) · New England Journal of Medicine

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 314

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

Use of artificial intelligence in critical care: opportunities and obstacles

Pinsky, M. R., Bedoya, A., Bihorac, A., Celi, L., Churpek, M., Economou-Zavlanos, N. J., Elbers, P., Saria, S., Liu, V., Lyons, P. G., et al. (2024) · Critical Care

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 160

Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study

Arasu, V. A., Habel, L. A., Achacoso, N. S., Buist, D. S. M., Cord, J. B., Esserman, L. J., Hylton, N. M., Glymour, M. M., Kornak, J., Kushi, L. H., et al. (2023) · Radiology

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 98

Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models

Ashana, D. C., Anesi, G. L., Liu, V. X., Escobar, G. J., Chesley, C., Eneanya, N. D., Weissman, G. E., Miller, W. D., Harhay, M. O., & Halpern, S. D. (2021) · American Journal of Respiratory and Critical Care Medicine

Sepsis Diagnosis and TreatmentEmergency and Acute Care Studies

Cited by 98

Length of Stay Predictions: Improvements Through the Use of Automated Laboratory and Comorbidity Variables

Liu, V., Kipnis, P., Gould, M. K., & Escobar, G. J. (2010) · Medical Care

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 87

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Cecconi, M., Greco, M., Shickel, B., Angus, D. C., Bailey, H., Bignami, E., Calandra, T., Celi, L. A., Einav, S., Elbers, P., et al. (2025) · Critical Care

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 80

Evaluation of outcomes following hospital-wide implementation of a subcutaneous insulin protocol for diabetic ketoacidosis

Rao, P., Jiang, S.-F., Kipnis, P., Patel, D. M., Katsnelson, S., Madani, S., & Liu, V. X. (2022) · JAMA Network Open

Diabetes Management and ResearchHyperglycemia and glycemic control in critically ill and hospitalized patients

Cited by 39

The Kaiser Permanente Northern California Advance Alert Monitor Program: An Automated Early Warning System for Adults at Risk for In-Hospital Clinical Deterioration

Martinez, V. A., Betts, R. K., Scruth, E. A., Buckley, J. D., Cadiz, V. R., Bertrand, L. D., Paulson, S. S., Dummett, B. A., Abhyankar, S. S., Reyes, V. M., et al. (2022) · The Joint Commission Journal on Quality and Patient Safety

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 21

Quality assurance during the rapid implementation of an AI-assisted clinical documentation support tool

Cain, C. H., Davis, A. C., Broder, B., Chu, E., DeHaven, A. H., Domenigoni, A., Gin, N., Kapoor, A., Liu, V., MacLean, A., et al. (2025) · NEJM AI

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 19

Risk of infection in older adults with type 2 diabetes with relaxed glycemic control

Lipska, K. J., Gilliam, L. K., Lee, C., Liu, J. Y., Liu, V. X., Moffet, H. H., Parker, M. M., Zapata, H., & Karter, A. J. (2024) · Diabetes Care

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 7