Judy Wawira Gichoya
Cited by
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Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
JR Geis, AP Brady, CC Wu, J Spencer, E Ranschaert, JL Jaremko, ...
Radiology 293 (2), 436-440, 2019
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
Gender outlaws: The next generation
K Bornstein, SB Bergman
Seal Press, 2010
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber, ...
PLOS Digital Health 1 (3), e0000022, 2022
Ethics of large language models in medicine and medical research
H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya
The Lancet Digital Health 5 (6), e333-e335, 2023
Multi-institutional validation of a mammography-based breast cancer risk model
A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ...
Journal of Clinical Oncology 40 (16), 1732, 2022
Reading race: AI recognises patient's racial identity in medical images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee
Journal of Digital Imaging 35 (2), 137-152, 2022
Equity in essence: a call for operationalising fairness in machine learning for healthcare
JW Gichoya, LG McCoy, LA Celi, M Ghassemi
BMJ health & care informatics 28 (1), 2021
How might AI and chest imaging help unravel COVID-19’s mysteries?
S Kundu, H Elhalawani, JW Gichoya, CE Kahn Jr
Radiology: Artificial Intelligence 2 (3), e200053, 2020
The state of radiology AI: considerations for purchase decisions and current market offerings
Y Tadavarthi, B Vey, E Krupinski, A Prater, J Gichoya, N Safdar, H Trivedi
Radiology: Artificial Intelligence 2 (6), e200004, 2020
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study
R Sarkar, C Martin, H Mattie, JW Gichoya, DJ Stone, LA Celi
The Lancet Digital Health 3 (4), e241-e249, 2021
Optimizing risk-based breast cancer screening policies with reinforcement learning
A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, ...
Nature medicine 28 (1), 136-143, 2022
Current clinical applications of artificial intelligence in radiology and their best supporting evidence
A Tariq, S Purkayastha, GP Padmanaban, E Krupinski, H Trivedi, ...
Journal of the American College of Radiology 17 (11), 1371-1381, 2020
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks
S Nuthakki, S Neela, JW Gichoya, S Purkayastha
arXiv preprint arXiv:1912.12397, 2019
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research
J Zhang, S Whebell, J Gallifant, S Budhdeo, H Mattie, ...
The Lancet Digital Health 4 (4), e212-e213, 2022
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non …
SN Kasthurirathne, BE Dixon, J Gichoya, H Xu, Y Xia, B Mamlin, ...
Journal of biomedical informatics 60, 145-152, 2016
Comparison of open-source electronic health record systems based on functional and user performance criteria
S Purkayastha, R Allam, P Maity, JW Gichoya
Healthcare informatics research 25 (2), 89, 2019
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ...
The Lancet Digital Health 6 (1), e12-e22, 2024
Decoding radiology reports: potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports
H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski, ZL Bercu, JM Newsome, ...
Clinical Imaging 101, 137-141, 2023
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