Operationalising fairness in medical algorithms

Affiliations

¹ Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
² Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
³ Laboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA LCeli@mit.edu.
⁴ Division of Pulmonary Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
⁵ Big Data Department, Regional Ministry of Health of Southern Spain, Sevilla, Spain.

Editorial

Sonali Parbhoo et al. BMJ Health Care Inform. 2022 Jun.

. 2022 Jun;29(1):e100617.

doi: 10.1136/bmjhci-2022-100617.

¹ Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
² Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
³ Laboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA LCeli@mit.edu.
⁴ Division of Pulmonary Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
⁵ Big Data Department, Regional Ministry of Health of Southern Spain, Sevilla, Spain.

No abstract available

Keywords: Artificial intelligence; Machine Learning.

Conflict of interest statement

Competing interests: None declared.

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