Treating health disparities with artificial intelligence

被引:84
作者
Chen, Irene Y. [1 ]
Joshi, Shalmali [2 ]
Ghassemi, Marzyeh [2 ,3 ,4 ]
机构
[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Vector Inst, Toronto, ON, Canada
[3] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[4] Univ Toronto, Dept Med, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1038/s41591-019-0649-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Healthcare is an imperfect practice, with disparities in care reflecting those in society. While algorithms may be misued to amplify biases, they may also be used to identify and correct disparities.
引用
收藏
页码:16 / 17
页数:2
相关论文
共 20 条
[1]  
Abebe R, 2019, P INT AAAI C WEB SOC
[2]   Machine Learning and Health Care Disparities in Dermatology [J].
Adamson, Adewole S. ;
Smith, Avery .
JAMA DERMATOLOGY, 2018, 154 (11) :1247-1248
[3]  
Alsan M, 2018, DOES DIVERSITY MATTE
[4]  
[Anonymous], 2019, Pregnancy Mortality Surveillance System
[5]  
[Anonymous], 2016, SEV MAT MORB NEW YOR
[6]  
[Anonymous], 2018, BIRTHS FINAL DATA 20
[7]  
Buolamwini Joy, 2018, P MACHINE LEARNING R
[8]  
Chen Irene Y, 2019, AMA J Ethics, V21, pE167, DOI 10.1001/amajethics.2019.167
[9]  
[Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care Institute of Medicine US], 2003, UNEQUAL TREATMENT CO
[10]   Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data [J].
Gianfrancesco, Milena A. ;
Tamang, Suzanne ;
Yazdany, Jinoos ;
Schmajuk, Gabriela .
JAMA INTERNAL MEDICINE, 2018, 178 (11) :1544-1547