Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?
Open Access
- 15 March 2021
- Vol. 372, n304
- https://doi.org/10.1136/bmj.n304
Abstract
Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue David Leslie and colleaguesThis publication has 32 references indexed in Scilit:
- The Social Determinants of Chronic DiseaseAmerican Journal of Preventive Medicine, 2017
- Genetic Misdiagnoses and the Potential for Health DisparitiesThe New England Journal of Medicine, 2016
- Natural Language Processing in Radiology: A Systematic ReviewRadiology, 2016
- Implicit Bias Against Sexual Minorities in MedicineAcademic Medicine, 2015
- Do Contact and Empathy Mitigate Bias Against Gay and Lesbian People Among Heterosexual First-Year Medical Students? A Report From the Medical Student CHANGE StudyAcademic Medicine, 2015
- Race, ethnicity and lung function: A brief history2015
- Health Inequalities and Infectious Disease Epidemics: A Challenge for Global Health SecurityBiosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science, 2014
- “Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United StatesAmerican Journal of Public Health, 2006
- Effects of Skin Pigmentation on Pulse Oximeter Accuracy at Low SaturationAnesthesiology, 2005
- The effect of patient race and socio-economic status on physicians' perceptions of patientsSocial Science & Medicine (1982), 2000