The "inconvenient truth" about AI in healthcare

by Panch, Trishan, Mattie, Heather, Celi, Leo Anthony G.
Published 2020

The reproducibility crisis in the age of digital medicine

by Stupple, Aaron, Singerman, David, Celi, Leo Anthony G.
Published 2020

COVID-19: Putting the General Data Protection Regulation to the Test

by McLennan, Stuart, Celi, Leo Anthony G., Buyx, Alena
Published 2020

State of the art review: the data revolution in critical care

by Ghassemi, Marzyeh, Celi, Leo Anthony G., Stone, David J.
Published 2016

Generalisability through local validation: overcoming barriers due to data disparity in healthcare

by Mitchell, William G., Dee, Edward C., Celi, Leo Anthony G.
Published 2021

Proton Pump Inhibitors Are Not Associated With Acute Kidney Injury in Critical Illness

by Danziger, John, Lee, Joonwu, Mark, Roger G, Celi, Leo Anthony G.
Published 2017

Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients

by Hunzike, Sabina, Celi, Leo Anthony G., Lee, Joon, Howell, Michael D.
Published 2012

The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

by Citi, Luca, Ghassemi, Marzyeh, Celi, Leo Anthony G., Pollard, Tom Joseph
Published 2019

Acute kidney injury detection using refined and physiological-feature augmented urine output

by Alkhairy, Sahar, Celi, Leo Anthony G., Feng, Mengling, Zimolzak, Andrew J.
Published 2021

Counterintuitive results from observational data: a case study and discussion

by Doty, Erik, Stone, David J, McCague, Ned, Celi, Leo Anthony G.
Published 2020

Association of hypokalemia with an increased risk for medically treated arrhythmias

by Phillips, Colin T., Wang, Junmei, Celi, Leo Anthony G., Zhang, Zhengbo, Feng, Mengling
Published 2019

Unsupervised learning for county-level typological classification for COVID-19 research

by Lai, Yuan, Charpignon, Marie-Laure, Ebner, Daniel K., Celi, Leo Anthony G.
Published 2020

Circadian rhythm in critically ill patients: Insights from the eICU Database

by Beyer, Sebastian E., Salgado, Catia, Garçao, Ines, Celi, Leo Anthony G., Vieira, Susana
Published 2021

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

by Wawira Gichoya, Judy, McCoy, Liam G, Celi, Leo Anthony G., Ghassemi, Marzyeh
Published 2021

Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

by Maley, Jason H, Wanis, Kerollos N, Young, Jessica G, Celi, Leo Anthony G.
Published 2020

Withholding or withdrawing invasive interventions may not accelerate time to death among dying ICU patients

by Ramazzotti, Daniele, Clardy, Peter, Celi, Leo Anthony G., Stone, David J., Rudin, Robert S.
Published 2019

Ensuring machine learning for healthcare works for all

by McCoy, Liam G, Banja, John D, Ghassemi, Marzyeh, Celi, Leo Anthony G.
Published 2020

Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System

by Celi, Leo Anthony G., Mark, Roger Greenwood, Lee, Joon, Scott, Daniel, Panch, Trishan
Published 2012

The advent of medical artificial intelligence: lessons from the Japanese approach

by Ishii, Euma, Ebner, Daniel K, Kimura, Satoshi, Agha-, Uchimido, Ryo, Celi, Leo Anthony G.
Published 2020