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Paper Details

AI recognition of patient race in medical imaging: a modelling study.
Lancet Digit Health
100
2022
human, patient, person
Artificial Intelligence, Deep Learning, Early Detection of Cancer, Humans, Lung Neoplasms, Retrospective Studies
Author NameAffiliation
Judy Wawira GichoyaEmory University
Imon BanerjeeArizona State University
Ananth Reddy BhimireddyEmory University
John L BurnsIndiana University-Purdue University
Leo Anthony CeliInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Beth Israel Deaconess Medical Center
Li-Ching ChenNational Tsing Hua University
Ramon CorreaArizona State University
Natalie DullerudUniversity of Toronto
Marzyeh GhassemiInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Po-Chih KuoNational Tsing Hua University
Matthew P LungrenStanford University School of Medicine
Brandon PriceFlorida State University College of Medicine
Saptarshi PurkayasthaIndiana University-Purdue University
Ayis Pyrros
Lauren Oakden-RaynerAustralian Institute for Machine Learning, University of Adelaide
Chima OkechukwuGeorgia Institute of Technology
Laleh Seyyed-KalantariUniversity of Toronto, Canada Lunenfeld-Tanenbaum Research Institute, Canada Vector Institute for Artificial Intelligence
Hari TrivediEmory University
Ryan WangNational Tsing Hua University
Zachary ZaimanEmory University
Haoran ZhangUniversity of Toronto
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Datasets

Dataset
Description
Source Link
Medical Imaging and Data Resource CenterThe Medical Imaging and Data Resource Center (MIDRC) is an NIBIB funded collaboration of leading medical imaging organizations launched in response to the COVID-19 pandemic. MIDRC immediate aim is to develop a high-quality repository for medical images related to acute and long-term COVID-19 and associated clinical data. Data is harmonized and rendered artificial intelligence (AI)-ready to support the development of medical image-based algorithms for use in the detection, diagnosis, prognosis, and monitoring of COVID-19. Although prioritizing the collection of inclusive and representative COVID-19 related medical images, MIDRC is disease agnostic and open to all medical imaging datasets.Link
Medical Imaging and Data Resource CenterThe Medical Imaging and Data Resource Center (MIDRC) is an NIBIB funded collaboration of leading medical imaging organizations launched in response to the COVID-19 pandemic. MIDRC immediate aim is to develop a high-quality repository for medical images related to acute and long-term COVID-19 and associated clinical data. Data is harmonized and rendered artificial intelligence (AI)-ready to support the development of medical image-based algorithms for use in the detection, diagnosis, prognosis, and monitoring of COVID-19. Although prioritizing the collection of inclusive and representative COVID-19 related medical images, MIDRC is disease agnostic and open to all medical imaging datasets.Link
Release 1.2