Literature DB >> 32051165

Can we trust AI not to further embed racial bias and prejudice?

Poppy Noor1.   

Abstract

Year:  2020        PMID： 32051165     DOI： 10.1136/bmj.m363

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  12 in total

Review 1.  Designing deep learning studies in cancer diagnostics.

Authors:  Andreas Kleppe; Ole-Johan Skrede; Sepp De Raedt; Knut Liestøl; David J Kerr; Håvard E Danielsen
Journal:  Nat Rev Cancer       Date:  2021-01-29       Impact factor: 60.716

2.  Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms.

Authors:  Benedetta Giovanola; Simona Tiribelli
Journal:  AI Soc       Date:  2022-05-21

3.  Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research.

Authors:  Gabrielle Samuel; Jenn Chubb; Gemma Derrick
Journal:  J Empir Res Hum Res Ethics       Date:  2021-03-18       Impact factor: 1.742

Review 4.  Machine learning in oncology: a review.

Authors:  Cecilia Nardini
Journal:  Ecancermedicalscience       Date:  2020-06-30

Review 5.  Bias and Class Imbalance in Oncologic Data-Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets.

Authors:  Erdal Tasci; Ying Zhuge; Kevin Camphausen; Andra V Krauze
Journal:  Cancers (Basel)       Date:  2022-06-12       Impact factor: 6.575

6.  Enabling Fairness in Healthcare Through Machine Learning.

Authors:  Thomas Grote; Geoff Keeling
Journal:  Ethics Inf Technol       Date:  2022-08-31

7.  Protecting Data Privacy in the Age of AI-Enabled Ophthalmology.

Authors:  Elysse Tom; Pearse A Keane; Marian Blazes; Louis R Pasquale; Michael F Chiang; Aaron Y Lee; Cecilia S Lee
Journal:  Transl Vis Sci Technol       Date:  2020-07-06       Impact factor: 3.283

8.  Tackling racism in UK health research.

Authors:  Richard Antony Powell; Chidi Njoku; Ramyia Elangovan; Ganesh Sathyamoorthy; Josephine Ocloo; Sudhin Thayil; Mala Rao
Journal:  BMJ       Date:  2022-01-18

9.  The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

Authors:  Emma M Davidson; Michael T C Poon; Beatrice Alex; William Whiteley; Arlene Casey; Andreas Grivas; Daniel Duma; Hang Dong; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu
Journal:  BMC Med Imaging       Date:  2021-10-02       Impact factor: 1.930

10.  Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students.

Authors:  Tomiko Oskotsky; Ruchika Bajaj; Jillian Burchard; Taylor Cavazos; Ina Chen; William T Connell; Stephanie Eaneff; Tianna Grant; Ishan Kanungo; Karla Lindquist; Douglas Myers-Turnbull; Zun Zar Chi Naing; Alice Tang; Bianca Vora; Jon Wang; Isha Karim; Claire Swadling; Janice Yang; Bill Lindstaedt; Marina Sirota
Journal:  PLoS Comput Biol       Date:  2022-01-31       Impact factor: 4.475
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