Celi, Leo Anthony

Reinforcement learning for clinical decision support in critical care: comprehensive review

Liu, S., See, K. C., Ngiam, K. Y., Celi, L. A., Sun, X., & Feng, M. (2020) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 225

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

Author Correction: MIMIC-IV, a freely accessible electronic health record dataset

Johnson, A. E. W., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · Scientific Data

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 181

An introduction to digital determinants of health

Chidambaram, S., Jain, B., Jain, U., Mwavu, R., Baru, R., Thomas, B., Greaves, F., Jayakumar, S., Jain, P., Rojo, M., et al. (2024) · PLOS Digital Health

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 175

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

The effect of using a large language model to respond to patient messages

Chen, S., Guevara, M., Moningi, S., Hoebers, F., Elhalawani, H., Kann, B. H., Chipidza, F. E., Leeman, J., Aerts, H. J. W. L., Miller, T., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 147

The reproducibility crisis in the age of digital medicine

Stupple, A., Singerman, D., & Celi, L. A. (2019) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 137

Assessment of Racial and Ethnic Differences in Oxygen Supplementation Among Patients in the Intensive Care Unit

Gottlieb, E. R., Ziegler, J., Morley, K., Rush, B., & Celi, L. A. (2022) · JAMA Internal Medicine

Respiratory Support and MechanismsNon-Invasive Vital Sign Monitoring

Cited by 134

A systematic review of federated learning applications for biomedical data

Crowson, M. G., Moukheiber, D., Arévalo, A. R., Lam, B. D., Mantena, S., Rana, A., Goss, D., Bates, D. W., & Celi, L. A. (2022) · PLOS Digital Health

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 129

A toolbox for surfacing health equity harms and biases in large language models

Pfohl, S. R., Cole-Lewis, H., Sayres, R., Neal, D., Asiedu, M., Dieng, A., Tomasev, N., Rashid, Q. M., Azizi, S., Rostamzadeh, N., et al. (2024) · Nature Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 113

MIMIC-IV-Note: Deidentified free-text clinical notes

Johnson, A., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2023) · PhysioNet

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 111

Equity in essence: a call for operationalising fairness in machine learning for healthcare

Wawira Gichoya, J., McCoy, L. G., Celi, L. A., & Ghassemi, M. (2021) · BMJ Health & Care Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 104

Systematic Review and Comparison of Publicly Available ICU Data Sets—A Decision Guide for Clinicians and Data Scientists

Sauer, C. M., Dam, T. A., Celi, L. A., Faltys, M., de la Hoz, M. A. A., Adhikari, L., Ziesemer, K. A., Girbes, A., Thoral, P. J., & Elbers, P. (2022) · Critical Care Medicine

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 104

The impact of commercial health datasets on medical research and health-care algorithms

Alberto, I. R. I., Alberto, N. R. I., Ghosh, A. K., Jain, B., Jayakumar, S., Martinez-Martin, N., McCague, N., Moukheiber, D., Moukheiber, L., Moukheiber, M., et al. (2023) · The Lancet Digital Health

Research Data Management PracticesArtificial Intelligence in Healthcare and Education

Cited by 86

Performance of intensive care unit severity scoring systems across different Ethnicities in the USA: a retrospective observational study

Sarkar, R., Martin, C., Mattie, H., Gichoya, J. W., Stone, D. J., & Celi, L. A. (2021) · The Lancet Digital Health

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 85

A translational perspective towards clinical AI fairness

Liu, M., Ning, Y., Teixayavong, S., Mertens, M., Xu, J., Ting, D. S. W., Cheng, L. T.-E., Ong, J. C. L., Teo, Z. L., Tan, T. F., et al. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

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

Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias

Gallifant, J., Zhang, J., del Pilar Arias Lopez, M., Zhu, T., Camporota, L., Celi, L. A., & Formenti, F. (2022) · British Journal of Anaesthesia

Respiratory Support and MechanismsArtificial Intelligence in Healthcare and Education

Cited by 72

Quantifying digital health inequality across a national healthcare system

Zhang, J., Gallifant, J., Pierce, R. L., Fordham, A., Teo, J., Celi, L., & Ashrafian, H. (2023) · BMJ Health & Care Informatics

Health disparities and outcomesTechnology Use by Older Adults

Cited by 52

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study

Celi, L. A., Hinske Christian, L., Alterovitz, G., & Szolovits, P. (2008) · Critical Care

Machine Learning in HealthcareHemodynamic Monitoring and Therapy

Cited by 52

MIMIC-IV-ED

Johnson, A., Bulgarelli, L., Pollard, T., Celi, L. A., Mark, R., & Horng, S. (2023) · PhysioNet

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 50

BRAX, Brazilian labeled chest x-ray dataset

Reis, E. P., de Paiva, J. P. Q., da Silva, M. C. B., Ribeiro, G. A. S., Paiva, V. F., Bulgarelli, L., Lee, H. M. H., Santos, P. V., Brito, V. M., Amaral, L. T. W., et al. (2022) · Scientific Data

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 47

An awakening in medicine: the partnership of humanity and intelligent machines

Celi, L. A., Fine, B., & Stone, D. J. (2019) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 45

Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability

Comeau, D. S., Bitterman, D. S., & Celi, L. A. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 44