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Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

21 July 2021
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
R. Correa
Natalie Dullerud
Marzyeh Ghassemi
Shih-Cheng Huang
Po-Chih Kuo
M. Lungren
L. Palmer
Brandon Price
S. Purkayastha
A. Pyrros
Luke Oakden-Rayner
Chima Okechukwu
Laleh Seyyed-Kalantari
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
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Papers citing "Reading Race: AI Recognises Patient's Racial Identity In Medical Images"

33 / 33 papers shown
Title
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
Haozhe Luo
Ziyu Zhou
Zixin Shu
Aurélie Pahud de Mortanges
Robert Berke
Mauricio Reyes
35
0
0
15 May 2025
Benchmarking Ethical and Safety Risks of Healthcare LLMs in China-Toward Systemic Governance under Healthy China 2030
Benchmarking Ethical and Safety Risks of Healthcare LLMs in China-Toward Systemic Governance under Healthy China 2030
Mouxiao Bian
Rongzhao Zhang
Chao Ding
Xinwei Peng
Jinfeng Xu
AILaw
LM&MA
ELM
41
0
0
12 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
Haroui Ma
Francesco Quinzan
Theresa Willem
Stefan Bauer
76
0
0
28 Apr 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Yan Luo
Congcong Wen
Min Shi
Hao Huang
Yi Fang
Mengyu Wang
FedML
26
0
0
31 Dec 2024
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Daeun Kyung
J. Kim
Tackeun Kim
Edward Choi
MedIm
DiffM
47
1
0
11 Sep 2024
Quantifying the Impact of Population Shift Across Age and Sex for
  Abdominal Organ Segmentation
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
Kate Čevora
Ben Glocker
Wenjia Bai
OOD
36
0
0
08 Aug 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
S. Rutherford
T. Wolfers
Charlotte J. Fraza
Nathaniel G. Harrnet
Christian F. Beckmann
H. Ruhé
A. Marquand
CML
61
3
0
26 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
Arthur Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
56
1
0
25 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
65
3
0
23 May 2024
Can AI Relate: Testing Large Language Model Response for Mental Health
  Support
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel
Isha Puri
Xuhai Xu
Matteo Malgaroli
Marzyeh Ghassemi
LM&MA
AI4MH
37
11
0
20 May 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
41
78
0
25 Jan 2024
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
36
17
0
15 Nov 2023
Learning and DiSentangling Patient Static Information from Time-series
  Electronic HEalth Record (STEER)
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)
Wei-Duen Liao
J. Voldman
OOD
CML
14
0
0
20 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Trine Eriksen
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
50
3
0
05 Sep 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
CML
54
9
0
31 Jul 2023
What We Know So Far: Artificial Intelligence in African Healthcare
What We Know So Far: Artificial Intelligence in African Healthcare
Naome A. Etori
Ebasa Temesgen
Maria Gini
33
5
0
10 May 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness,
  Privacy, and Utility
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
Mohammad Yaghini
Patty Liu
Franziska Boenisch
Nicolas Papernot
FedML
FaML
46
8
0
17 Feb 2023
Revisiting Hidden Representations in Transfer Learning for Medical
  Imaging
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte
Amelia Jiménez-Sánchez
Veronika Cheplygina
OOD
19
1
0
16 Feb 2023
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
Amelia Jiménez-Sánchez
Dovile Juodelye
B. Chamberlain
Veronika Cheplygina
10
14
0
08 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
36
5
0
04 Nov 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker
Charles Jones
Mélanie Roschewitz
S. Winzeck
26
35
0
07 Sep 2022
A systematic study of race and sex bias in CNN-based cardiac MR
  segmentation
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Miaojing Shi
A. King
31
11
0
04 Sep 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of
  Normal Chest X-Rays
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays
T. Dyer
Jordan Smith
G. Dissez
N. Tay
Q. Malik
T. N. Morgan
P. Williams
Liliana Garcia-Mondragon
George Pearse
S. Rasalingham
OOD
29
2
0
31 Aug 2022
Deep Learning Discovery of Demographic Biomarkers in Echocardiography
Deep Learning Discovery of Demographic Biomarkers in Echocardiography
Grant Duffy
S. Clarke
M. Christensen
Bryan He
N. Yuan
Susan Cheng
David Ouyang
24
39
0
13 Jul 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
43
28
0
06 Jul 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in
  Prediction
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction
Vinith Suriyakumar
Marzyeh Ghassemi
Berk Ustun
44
6
0
04 Jun 2022
Feature robustness and sex differences in medical imaging: a case study
  in MRI-based Alzheimer's disease detection
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Eike Petersen
Aasa Feragen
Maria Luise da Costa Zemsch
A. Henriksen
Oskar Eiler Wiese Christensen
M. Ganz
OOD
24
27
0
04 Apr 2022
Improving the Fairness of Chest X-ray Classifiers
Improving the Fairness of Chest X-ray Classifiers
Haoran Zhang
Natalie Dullerud
Karsten Roth
Lauren Oakden-Rayner
Stephen R. Pfohl
Marzyeh Ghassemi
25
65
0
23 Mar 2022
When less is more: Simplifying inputs aids neural network understanding
When less is more: Simplifying inputs aids neural network understanding
R. Schirrmeister
Rosanne Liu
Sara Hooker
T. Ball
34
5
0
14 Jan 2022
RadFusion: Benchmarking Performance and Fairness for Multimodal
  Pulmonary Embolism Detection from CT and EHR
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
Yuyin Zhou
Shih-Cheng Huang
Jason Alan Fries
Alaa Youssef
T. Amrhein
...
Imon Banerjee
D. Rubin
Lei Xing
N. Shah
M. Lungren
32
43
0
23 Nov 2021
Algorithmic encoding of protected characteristics in image-based models
  for disease detection
Algorithmic encoding of protected characteristics in image-based models for disease detection
Ben Glocker
Charles Jones
Mélanie Bernhardt
S. Winzeck
37
9
0
27 Oct 2021
Deploying clinical machine learning? Consider the following...
Deploying clinical machine learning? Consider the following...
Charles Lu
Kenglun Chang
Praveer Singh
S. Pomerantz
S. Doyle
Sujay S Kakarmath
Christopher P. Bridge
Jayashree Kalpathy-Cramer
54
4
0
14 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging
Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu
A. Lemay
Ken Chang
K. Hoebel
Jayashree Kalpathy-Cramer
MedIm
22
67
0
09 Sep 2021
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