AI recognition of patient race in medical imaging: a modelling study

The Lancet Digital Health - Tập 4 Số 6 - Trang e406-e414 - 2022
Judy Wawira Gichoya1, Imon Banerjee2, Ananth Reddy Bhimireddy1, James MacGregor Burns3, Leo Anthony Celi4,5, Li-Ching Chen6, Ramón Correa2, Natalie Dullerud7, Marzyeh Ghassemi8,5, Shih-Cheng Huang9, Po‐Chih Kuo6, Matthew P. Lungren9, Lyle J. Palmer10,11, Brandon J. Price12, Saptarshi Purkayastha3, Ayis Pyrros13, Luke Oakden‐Rayner10, Chima Okechukwu14, Laleh Seyyed-Kalantari7,15,16, Hari Trivedi1, Ryan Wang6, Zachary Zaiman17, Haoran Zhang7
1Department of Radiology, Emory University, Atlanta, Ga. USA
2School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
3School of Informatics and Computing, Indiana University–Purdue University, Indianapolis, IN, USA
4Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
5Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
6Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan
7Department of Computer Science, University of Toronto, Toronto, ON, Canada
8Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
9Stanford University School of Medicine, Palo Alto, CA USA
10Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia
11School of Public Health, University of Adelaide, Adelaide, SA, Australia
12Florida State University College of Medicine, Tallahassee, FL, USA
13Dupage Medical Group, Hinsdale, IL, USA
14Department of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA
15Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
16Vector Institute for Artificial Intelligence, Toronto, ON, Canada
17Department of Computer Science, Emory University, Atlanta, GA, USA

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