[HTML][HTML] A translational perspective towards clinical AI fairness
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
A translational perspective towards clinical AI fairness
M Liu, Y Ning, S Teixayavong… - npj Digital …, 2023 - repository.uantwerpen.be
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
A translational perspective towards clinical AI fairness
M Liu, Y Ning, S Teixayavong… - NPJ digital …, 2023 - pubmed.ncbi.nlm.nih.gov
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
A translational perspective towards clinical AI fairness
M Liu, Y Ning, S Teixayavong, M Mertens… - NPJ Digital …, 2023 - search.proquest.com
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
A translational perspective towards clinical AI fairness.
M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - NPJ Digital …, 2023 - europepmc.org
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
[HTML][HTML] A translational perspective towards clinical AI fairness
M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - NPJ Digital …, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
A translational perspective towards clinical AI fairness.
M Liu, Y Ning, S Teixayavong, M Mertens… - NPJ Digital …, 2023 - search.ebscohost.com
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
[PDF][PDF] A translational perspective towards clinical AI fairness
M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - repository.uantwerpen.be
The early days of artificial intelligence (AI) were filled with great aspirations, some of which
have now been realized, particularly in the “post-ChatGPT” era 1–4. In healthcare, data …
have now been realized, particularly in the “post-ChatGPT” era 1–4. In healthcare, data …
A translational perspective towards clinical AI fairness.
M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - NPJ Digital …, 2023 - europepmc.org
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …