Share:
Peer-Reviewed Publication
J Glob Health2019;9(2):010318.December 1, 2019Journal Article

Artificial intelligence and algorithmic bias: implications for health systems.

Trishan Panch1,2, Heather Mattie3, Rifat Atun4
1Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.
2Wellframe, Boston, Massachusetts, USA.
3Department of Biostatistics and Executive Director, Health Data Science Masters Program, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.
4Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.