Women’s Health and Artificial Intelligence (AI): Addressing Potential for Bias and Discrimination in AI
Author:
Affiliation:
1. Harvard Medical School, Emeritus Boston, MA USA
2. Downstate Health Sciences University, Brooklyn, NY USA
Abstract
Publisher
Bentham Science Publishers Ltd.
Subject
Obstetrics and Gynecology
Reference23 articles.
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3. Crigger E.; Reinbold K.; Hanson C.; Trustworthy Augmented Intelligence in Health Care. J Med Syst ,46(2022),12
4. Dhombres F; Bonnard J; Bailly K; Maurice P; Papageorghiou AT; Jouannic JM; Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review. J Med Internet Res 2022,24(4)
5. Islam M.N.; Mustafina S.N.; Mahmud T.; Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda. BMC Pregnancy Childbirth ,22(2022),348
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