An empirical characterization of fair machine learning for clinical risk prediction

Treating health disparities with artificial intelligence

(2020) Irene Y. Chen et al.   NATURE MEDICINE

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

(2020) Agostina J. Larrazabal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning

(2020) Melissa D McCradden et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Don’t ask if artificial intelligence is good or fair, ask how it shifts power

(2020) Pratyusha Kalluri   NATURE

Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms

(2020) Darshali A. Vyas et al.   NEW ENGLAND JOURNAL OF MEDICINE

The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

(2019) Peter C. Austin et al.   STATISTICS IN MEDICINE

A fairer way forward for AI in health care

(2019) Linda Nordling   NATURE

Making Machine Learning Models Clinically Useful

(2019) Nigam H. Shah et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dissecting racial bias in an algorithm used to manage the health of populations

(2019) Ziad Obermeyer et al.   SCIENCE

Assessing risk, automating racism

(2019) Ruha Benjamin   SCIENCE

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

(2018) Jenna M Reps et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Good intentions are not enough: how informatics interventions can worsen inequality

(2018) Tiffany C Veinot et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

(2018) Danton S. Char et al.   NEW ENGLAND JOURNAL OF MEDICINE

Racial inequalities in health: Framing future research

(2018) Margaret T. Hicken et al.   SOCIAL SCIENCE & MEDICINE

Machine Learning, Health Disparities, and Causal Reasoning

(2018) Steven N. Goodman et al.   ANNALS OF INTERNAL MEDICINE

Ensuring Fairness in Machine Learning to Advance Health Equity

(2018) Alvin Rajkomar et al.   ANNALS OF INTERNAL MEDICINE

On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests

(2017) Aaditya Ramdas et al.   Entropy

Under-representation of elderly and women in clinical trials

(2017) Cristiana Vitale et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Inequality and the health-care system in the USA

(2017) Samuel L Dickman et al.   LANCET

Structural racism and health inequities in the USA: evidence and interventions

(2017) Zinzi D Bailey et al.   LANCET

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review

(2015) William J. Hall et al.   AMERICAN JOURNAL OF PUBLIC HEALTH

On the Causal Interpretation of Race in Regressions Adjusting for Confounding and Mediating Variables

(2014) Tyler J. VanderWeele et al.   EPIDEMIOLOGY

Validation of a common data model for active safety surveillance research

(2011) J Marc Overhage et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Residential Segregation and Disparities in Health Care Services Utilization

(2011) Darrell J. Gaskin et al.   MEDICAL CARE RESEARCH AND REVIEW

The public health critical race methodology: Praxis for antiracism research

(2010) Chandra L. Ford et al.   SOCIAL SCIENCE & MEDICINE