Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Objectives Leveraging artificial intelligence (AI) in conjunction with electronic health records
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
This study investigates how machine learning (ML) models can predict hospital
readmissions for diabetic patients fairly and accurately across different demographics (age …
readmissions for diabetic patients fairly and accurately across different demographics (age …
Navigating Fairness in Radiology AI: Concepts, Consequences, and Crucial Considerations
Artificial Intelligence (AI) has significantly revolutionized radiology, promising improved
patient outcomes and streamlined processes. However, it's critical to ensure the fairness of …
patient outcomes and streamlined processes. However, it's critical to ensure the fairness of …