Browse our research papers and stay up to date with the latest research in Health AI.
Loading...
2023-08-14PLOS Global Public Health
A new tool for evaluating health equity in academic journals; the Diversity Factor.
Gallifant J, Zhang J, Whebell S, Quion J, Escobar B, Gichoya J, Herrera K, Jina ...+ More
We introduce the concept of a diversity factor for journals. Given that journals play a huge role in the creation and dissemination of knowledge, it’s time to downgrade the importance of the impact fa...+Expand
2023-08-07Health Affairs Forefront
Reform Response - Tying Equity To Reimbursements
Robin L. Pierce, Jack Gallifant, Leo Anthony Celi
In December 2022, the Centers for Medicare and Medicaid Services proposed a bold initiative to tie reimbursements to health equity. The proposal puts forth a set of new and revised provisions targetin...+Expand
2023-07-10
Role of artificial intelligence in pharmacy practice - A narrative review
Adrian Wong, Erin Wentz, Nicholas Palisano, Manar Dirani, Pansy Elsamadisi, Fara...+ More
With the growth of electronic health records, digital health platforms, and social media, there is an abundance of data that can be analyzed using AI to generate insights that can help pharmacy practi...+Expand
2023-06-27BMJ Health & Care Informatics
Delivering on NIH data sharing requirements - avoiding Open Data in Appearance Only
Hope Watson, Jack Gallifant, Yuan Lai, Alexander P Radunsky, Cleva Villanueva, N...+ More
In January, the National Institutes of Health (NIH) implemented a Data Management and Sharing Policy aiming to leverage data collected during NIH-funded research. The COVID-19 pandemic illustrated tha...+Expand
2023-06-24Nature Scientific Data
A guide to sharing open healthcare data under the General Data Protection Regulation
Jip W. T. M. de Kok, Miguel A. Armengol de la Hoz, Ymke de Jong, Veronique Brokk...+ More
The data bias within health records is too complex for a siloed small group of investigators to understand. Any health AI initiative without data sharing at its core is doomed to legitimize and even s...+Expand
2023-03-27Critical Care Clinics
Critical Bias in Critical Care Devices
Marie-Laure Charpignon, Joseph Byers, Stephanie Cabral, Leo Anthony Celi, Chryst...+ More
Critical care data reflect the most physiologically unstable patients in a hospital. These patients are heavily monitored and may undergo complex treatment regimens to manage multiple organ failure. T...+Expand
2023-03-01Lancet - eBioMedicine
Fairness metrics for health AI - We have a long way to go
Amarachi B. Mbakwe, Ismini Lourentzou, Leo Anthony Celi, Joy T Wu
A critical step towards addressing AI model bias and subgroup disparities is the establishment of common principles, guidelines, and standards that model developers adhere to. These standards would ne...+Expand
2023-02-09PLOS Digital Health
ChatGPT passing USMLE shines a spotlight on the flaws of medical eduction
Amarachi Mbakwe, Ismini Lourentzou, Leo Anthony Celi, Oren Mechanic, Alon Dagan
The goal of the USMLE exam is to assess “a physician's ability to apply knowledge, concepts, and principles, and to demonstrate fundamental patient-centered skills that are important in health and dis...+Expand
2023-02-07Nature Machine Intelligence
An extension to the FDA approval process is needed to achieve AI equity
Alessandro Hammond, Bhav Jain, Leo Anthony Celi, Fatima Cody Stanford
To achieve health equity, the FDA should mandate that manufacturers test their medical devices and software on diverse patient populations. In addition, companies should provide information on the com...+Expand
2023-02-01Respiratory Care
Titration of Ventilator Settings to Target Driving Pressure and Mechanical Power
Elias Baedorf Kassis, Stephanie Hu, MingYu Lu, Alistair Johnson, Somnath Bose, M...+ More
Driving pressure and mechanical power may be important mediators of lung injury in ARDS; however, there is little evidence for strategies directed at reducing these parameters. We applied predictive m...+Expand
2022-07-11JAMA Internal Medicine
Assessment of Racial and Ethnic Differences in Oxygen Supplementation Among Patients in the Intensive Care Unit
Gottlieb ER, Ziegler J, Morley K, Rush B, Celi LA
The manuscript reported that Asian, Black, and Hispanic patients received less supplemental oxygen than White patients after adjusting for clinical confounding. The gap is fully explained by the pulse...+Expand
2022-07-05Springer Journal of Digital Imaging
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study
Wu JT*, de la Hoz MÁA*, Kuo PC*, Paguio JA, Yao JS, Dee EC, Yeung W, Jurado J, M...+ More
We have published numerous papers in machine learning not just in critical care medicine but across different specialties such as ophthalmology, radiology, surgery, nursing, bioethics, among others. W...+Expand
2022-05-11The Lancet Digital Health
AI recognition of patient race in medical imaging: a modelling study
Gichoya JW, Banerjee I, Bhimireddy AR, Burns JL, Celi LA, Chen LC, Correa R, Dul...+ More
In this paper, we demonstrated that computers can learn the race-ethnicity from medical images in the absence of any clinical data. What was most perplexing was that we (and others who read the paper)...+Expand
2021-07-03JAMA Network Open
Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality.
Wong AI, Charpignon M, Kim H, Josef C, de Hond AAH, Fojas JJ, Tabaie A, Liu X, M...+ More
In this study, there was greater variability in oxygen saturation levels for a given Spo2 level in patients who self-identified as Black, followed by Hispanic, Asian, and White. Patients with and with...+Expand
2020-09-01The Lancet Digital Health
The myth of generalisability in clinical research and machine learning in health care.
Futoma J, Simons M, Panch T, Doshi-Velez F, Celi LA.
This paper, which has been cited 212 times so far, addresses the second most critical issue in artificial intelligence (after data bias). The pursuit of model generalizability is misguided given that ...+Expand
2019-01-07Nature Medicine
Guidelines for reinforcement learning in healthcare
Gottesman O, Johansson F, Komorowski M, Faisal A, Sontag D, Doshi-Velez F, Celi ...+ More
This paper describes the best practices in the application of reinforcement learning on healthcare data. It has been cited 352 times so far and is in the 98th percentile of the 445,021 articles tracke...+Expand
2018-10-22Nature Medicine
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.
Komorowski M, Celi LA, Badawi O, Gordon AC, Faisal AA.
This is the first paper published that employed reinforcement learning on electronic health record data. This article has been cited more than 800 times according to Google Scholar, and is in the 99th...+Expand
2016-06-30Springer Open
Secondary Analysis of Electronic Health Records
Charlton P, Ghassemi M, Johnson AE, Komorowski M, Marshall D, Neumann T, Paik K,...+ More
This is the first book published that describes the process of curating, exploring and analyzing messy electronic health record data. Like a cookbook, it comes with SQL and R codes and queries to demo...+Expand
2016-05-24Nature Scientific Data
MIMIC-III, a freely accessible critical care database.
Johnson AEW, Pollard TJ, Shen L, Lehman L, Feng M, Ghassemi M, Moody B, Szolovit...+ More
This paper is a description of the MIMIC-III dataset. It has been cited more than 5000 times since its publication in 2016. Leo Celi, lead ICU clinician worked with the engineers at MIT who design and...+Expand