From the 1 of 4 linked papers with an AI index.
4 papers
Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Lillian Rountree, Harsh Parikh, Bhramar Mukherjee
The paper shows how statisticians can turn the abstract ideas of data equity into concrete, testable methods, using racial bias in pulse oximeter measurements as a case study to tr…
The Epidemiology of Artificial Intelligence
Harsh Parikh, Tyler McCormick, Emily Johnson +3
Artificial intelligence (AI) systems increasingly shape how people access health information, make medical decisions, and receive care -- yet epidemiology lacks frameworks for meas…
Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes
Xingran Chen, Cheng-Han Yang, Zhenke Wu +1
Electronic health record (EHR)-linked biobank data hold tremendous promise for large-scale discoveries via genome-wide association study (GWAS) on diverse phenotypic traits and bio…
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
Xingran Chen, Tyler McCormick, Bhramar Mukherjee +1
Pre-trained machine learning (ML) predictions have been increasingly used to complement incomplete data to enable downstream scientific inquiries, but their naive integration risks…