Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature 620 (7972), 172-180, 2023 | 1614 | 2023 |
Towards expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... Nature Medicine, 2023 | 622 | 2023 |
Big self-supervised models advance medical image classification S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ... ICCV, 2021 | 617 | 2021 |
Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature, 2022 | 482 | 2022 |
Contextual residual aggregation for ultra high-resolution image inpainting Z Yi, Q Tang, S Azizi, D Jang, Z Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 391 | 2020 |
Towards generalist biomedical ai T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... NEJM AI 1 (3), AIoa2300138, 2024 | 286 | 2024 |
Synthetic data from diffusion models improves imagenet classification S Azizi, S Kornblith, C Saharia, M Norouzi, DJ Fleet Transactions on Machine Learning (TMLR), 2023 | 278 | 2023 |
Robust and efficient medical imaging with self-supervision S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering, 1-24, 2023 | 219* | 2023 |
Towards conversational diagnostic ai T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ... arXiv preprint arXiv:2401.05654, 2024 | 117 | 2024 |
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions AG Roy, J Ren, S Azizi, A Karthikesalingam, B Lakshminarayanan, ... Medical Image Analysis, 2021 | 115 | 2021 |
Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 95 | 2024 |
Deep recurrent neural networks for prostate cancer detection: analysis of temporal enhanced ultrasound S Azizi, S Bayat, P Yan, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... IEEE transactions on medical imaging 37 (12), 2695-2703, 2018 | 94 | 2018 |
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations S Azizi, S Bayat, P Yan, A Tahmasebi, G Nir, JT Kwak, S Xu, S Wilson, ... International journal of computer assisted radiology and surgery 12 (8 …, 2017 | 58 | 2017 |
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study S Azizi, F Imani, S Ghavidel, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... International journal of computer assisted radiology and surgery 11 (6), 947-956, 2016 | 57 | 2016 |
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 56 | 2023 |
Towards accurate differential diagnosis with large language models D McDuff, M Schaekermann, T Tu, A Palepu, A Wang, J Garrison, ... arXiv preprint arXiv:2312.00164, 2023 | 54 | 2023 |
Large language models encode clinical knowledge. arXiv 2022 K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 51* | 2022 |
Generative models improve fairness of medical classifiers under distribution shifts I Ktena, O Wiles, I Albuquerque, SA Rebuffi, R Tanno, AG Roy, S Azizi, ... Nature Medicine, 1-8, 2024 | 49 | 2024 |
A kernelized manifold mapping to diminish the effect of adversarial perturbations SA Taghanaki, K Abhishek, S Azizi, G Hamarneh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 44 | 2019 |
Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks S Azizi, F Imani, B Zhuang, A Tahmasebi, JT Kwak, S Xu, N Uniyal, ... International conference on medical image computing and computer-assisted …, 2015 | 44 | 2015 |