An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes
Objective The increasing translation of artificial intelligence (AI)/machine learning (ML)
models into clinical practice brings an increased risk of direct harm from modeling bias; …
models into clinical practice brings an increased risk of direct harm from modeling bias; …
[HTML][HTML] A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Background and objective As a response to the ongoing COVID-19 pandemic, several
prediction models in the existing literature were rapidly developed, with the aim of providing …
prediction models in the existing literature were rapidly developed, with the aim of providing …
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida
Introduction The SARS-CoV-2 (COVID-19) pandemic has created substantial health and
economic burdens in the US and worldwide. As new variants continuously emerge …
economic burdens in the US and worldwide. As new variants continuously emerge …
[HTML][HTML] Learning from past respiratory infections to predict COVID-19 outcomes: retrospective study
Background For the clinical care of patients with well-established diseases, randomized
trials, literature, and research are supplemented with clinical judgment to understand …
trials, literature, and research are supplemented with clinical judgment to understand …
Predicting COVID-19 severity: challenges in reproducibility and deployment of machine learning methods
L Liu, W Song, N Patil, M Sainlaire, R Jasuja… - International Journal of …, 2023 - Elsevier
The increasing use of electronic health records (EHR) based computable phenotypes in
clinical research is providing new opportunities for development of data-driven medical …
clinical research is providing new opportunities for development of data-driven medical …
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of
infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a …
infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a …
Gender bias in artificial intelligence: severity prediction at an early stage of COVID-19
Artificial intelligence (AI) technologies have been applied in various medical domains to
predict patient outcomes with high accuracy. As AI becomes more widely adopted, the …
predict patient outcomes with high accuracy. As AI becomes more widely adopted, the …
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for
predicting COVID-19 hospitalization and mortality using primary and secondary data …
predicting COVID-19 hospitalization and mortality using primary and secondary data …
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
As patient health information is highly regulated due to privacy concerns, most machine
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population
Objective To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes,
elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness …
elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness …