Algorithmic fairness in artificial intelligence for medicine and healthcare
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
Ethical machine learning in healthcare
The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …
especially as models can amplify existing health inequities. Here, we outline ethical …
[HTML][HTML] FairLens: Auditing black-box clinical decision support systems
The pervasive application of algorithmic decision-making is raising concerns on the risk of
unintended bias in AI systems deployed in critical settings such as healthcare. The detection …
unintended bias in AI systems deployed in critical settings such as healthcare. The detection …
Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations
Clinical notes are becoming an increasingly important data source for machine learning
(ML) applications in healthcare. Prior research has shown that deploying ML models can …
(ML) applications in healthcare. Prior research has shown that deploying ML models can …
Algorithm fairness in ai for medicine and healthcare
In the current development and deployment of many artificial intelligence (AI) systems in
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …
Racial disparity in end‐of‐life hospitalizations among nursing home residents with dementia
Objective Explore within and across nursing home (NH) racial disparities in end‐of‐life
(EOL) hospitalizations for residents with Alzheimer's disease or related dementia (ADRD) …
(EOL) hospitalizations for residents with Alzheimer's disease or related dementia (ADRD) …
Promoting Equity In Clinical Decision Making: Dismantling Race-Based Medicine: Commentary examines promoting equity in clinical decision-making
T Hernandez-Boussard, SM Siddique, AS Bierman… - Health …, 2023 - healthaffairs.org
As the use of artificial intelligence has spread rapidly throughout the US health care system,
concerns have been raised about racial and ethnic biases built into the algorithms that often …
concerns have been raised about racial and ethnic biases built into the algorithms that often …
EHR safari: data is contextual
In the last decade, machine learning (ML) has shown tremendous success in areas such as
vision, language, strategic games, and more. Parallel to this, hospitals' capacity for data …
vision, language, strategic games, and more. Parallel to this, hospitals' capacity for data …
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
Social determinants of health (SDOH)–the conditions in which people live, grow, and age–
play a crucial role in a person's health and well-being. There is a large, compelling body of …
play a crucial role in a person's health and well-being. There is a large, compelling body of …
[PDF][PDF] Evaluating the Impact of Social Determinants on Health Prediction
Social determinants of health (SDOH)–the conditions in which people live, grow, and age–
play a crucial role in a person's health and well-being. There is a large, compelling body of …
play a crucial role in a person's health and well-being. There is a large, compelling body of …