Celi, Leo Anthony

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., et al. (2024) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 4,718

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 3,401

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

Pollard, T. J., Johnson, A. E. W., Raffa, J. D., Celi, L. A., Mark, R. G., & Badawi, O. (2018) · Scientific Data

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 1,993

The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care

Komorowski, M., Celi, L. A., Badawi, O., Gordon, A. C., & Faisal, A. A. (2018) · Nature Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 1,290

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Moons, K. G. M., Damen, J. A. A., Kaul, T., Hooft, L., Andaur Navarro, C., Dhiman, P., Beam, A. L., Van Calster, B., Celi, L. A., Denaxas, S., et al. (2025) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,069

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 615

AI recognition of patient race in medical imaging: a modelling study

Gichoya, J. W., Banerjee, I., Bhimireddy, A. R., Burns, J. L., Celi, L. A., Chen, L.-C., Correa, R., Dullerud, N., Ghassemi, M., Huang, S.-C., et al. (2022) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 611

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

MIMIC-IV

Johnson, A., Bulgarelli, L., Pollard, T., Gow, B., Moody, B., Horng, S., Celi, L. A., & Mark, R. (2024) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

MIMIC-IV

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

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Zack, T., Lehman, E., Suzgun, M., Rodriguez, J. A., Celi, L. A., Gichoya, J., Jurafsky, D., Szolovits, P., Bates, D. W., Abdulnour, R.-E. E., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 510

The “inconvenient truth” about AI in healthcare

Panch, T., Mattie, H., & Celi, L. A. (2019) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 473

The myth of generalisability in clinical research and machine learning in health care

Futoma, J., Simons, M., Panch, T., Doshi-Velez, F., & Celi, L. A. (2020) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 467

The MIMIC Code Repository: enabling reproducibility in critical care research

Johnson, A. E. W., Stone, D. J., Celi, L. A., & Pollard, T. J. (2018) · Journal of the American Medical Informatics Association

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 442

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Feng, J., Phillips, R. V., Malenica, I., Bishara, A., Hubbard, A. E., Celi, L. A., & Pirracchio, R. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 423

Digital literacy as a new determinant of health: A scoping review

Arias López, M. D. P., Ong, B. A., Borrat Frigola, X., Fernández, A. L., Hicklent, R. S., Obeles, A. J. T., Rocimo, A. M., & Celi, L. A. (2023) · PLOS Digital Health

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 422

Guidelines for reinforcement learning in healthcare

Gottesman, O., Johansson, F., Komorowski, M., Faisal, A., Sontag, D., Doshi-Velez, F., & Celi, L. A. (2019) · Nature Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 395

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association

Armoundas, A. A., Narayan, S. M., Arnett, D. K., Spector-Bagdady, K., Bennett, D. A., Celi, L. A., Friedman, P. A., Gollob, M. H., Hall, J. L., Kwitek, A. E., et al. (2024) · Circulation

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 347

Ethics of large language models in medicine and medical research

Li, H., Moon, J. T., Purkayastha, S., Celi, L. A., Trivedi, H., & Gichoya, J. W. (2023) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 286

AI pitfalls and what not to do: mitigating bias in AI

Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., Seyyed-Kalantari, L., Trivedi, H., & Purkayastha, S. (2023) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 277

ChatGPT passing USMLE shines a spotlight on the flaws of medical education

Mbakwe, A. B., Lourentzou, I., Celi, L. A., Mechanic, O. J., & Dagan, A. (2023) · PLOS Digital Health

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 273

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

What do medical students actually need to know about artificial intelligence?

McCoy, L. G., Nagaraj, S., Morgado, F., Harish, V., Das, S., & Celi, L. A. (2020) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 240