1 code implementation • 9 Nov 2023 • Thomas Buckley, James A. Diao, Adam Rodman, Arjun K. Manrai
Conclusions: GPT-4V outperformed human respondents on challenging medical cases and was able to synthesize information from both images and text, but performance deteriorated when images were added to highly informative text.
no code implementations • 23 Aug 2023 • Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
While hundreds of artificial intelligence (AI) algorithms are now approved or cleared by the US Food and Drugs Administration (FDA), many studies have shown inconsistent generalization or latent bias, particularly for underrepresented populations.
no code implementations • 23 Nov 2022 • Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
Dermatological classification algorithms developed without sufficiently diverse training data may generalize poorly across populations.
1 code implementation • CVPR 2021 • Luke Melas-Kyriazi, Arjun K. Manrai
In this work, we present a novel framework for unsupervised domain adaptation based on the notion of target-domain consistency training.
Ranked #27 on Synthetic-to-Real Translation on SYNTHIA-to-Cityscapes