| 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 | 558 | 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 | 435 | 2022 |
| 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 | 275 | 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 | 235 | 2023 |
| 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 | 227 | 2024 |
| Gender outlaws: The next generation K Bornstein, SB Bergman Seal Press, 2010 | 194 | 2010 |
| 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), 1732-1740, 2022 | 152 | 2022 |
| 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 | 123 | 2022 |
| AI pitfalls and what not to do: mitigating bias in AI JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ... The British Journal of Radiology 96 (1150), 20230023, 2023 | 118 | 2023 |
| 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), e100289, 2021 | 95 | 2021 |
| 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 | 83 | 2021 |
| Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment K Drukker, W Chen, J Gichoya, N Gruszauskas, J Kalpathy-Cramer, ... Journal of Medical Imaging 10 (6), 061104-061104, 2023 | 82 | 2023 |
| 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 | 79 | 2023 |
| 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 | 79 | 2022 |
| 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 | 75 | 2020 |
| 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 | 70 | 2020 |
| The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ... Radiology: Artificial Intelligence 5 (1), e220047, 2023 | 67 | 2023 |
| 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 | 64 | 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 | 63 | 2021 |
| “Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation, and mitigation I Banerjee, K Bhattacharjee, JL Burns, H Trivedi, S Purkayastha, ... Journal of the American College of Radiology 20 (9), 842-851, 2023 | 58 | 2023 |
Hari TrivediEmory UniversityE-mail megerősítve itt: emory.edu