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 | 2332 | 2023 |
Toward expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, M Amin, L Hou, K Clark, ... Nature Medicine, 1-8, 2025 | 723 | 2025 |
Towards generalist biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... NEJM AI 1 (3), AIoa2300138, 2024 | 333 | 2024 |
Towards conversational diagnostic ai T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ... arXiv preprint arXiv:2401.05654, 2024 | 151 | 2024 |
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 | 140 | 2024 |
Coordinated regulation of acid resistance in Escherichia coli P Aquino, B Honda, S Jaini, A Lyubetskaya, K Hosur, JG Chiu, I Ekladious, ... BMC systems biology 11, 1-15, 2017 | 78 | 2017 |
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 | 71 | 2023 |
y Arcas K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... BA, Tomasev, N., Liu, Y., Wong, R., Semturs, C., Mahdavi, SS, Barral, J …, 2022 | 43 | 2022 |
Towards expert-level medical question answering with large language models. 2023 K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 39 | 2023 |
Inferring macroscale brain dynamics via fusion of simultaneous EEG-fMRI MG Philiastides, T Tu, P Sajda Annual Review of Neuroscience 44 (1), 315-334, 2021 | 35 | 2021 |
A multimodal encoding model applied to imaging decision-related neural cascades in the human brain J Muraskin, TR Brown, JM Walz, T Tu, B Conroy, RI Goldman, P Sajda NeuroImage 180, 211-222, 2018 | 35 | 2018 |
Advancing multimodal medical capabilities of Gemini L Yang, S Xu, A Sellergren, T Kohlberger, Y Zhou, I Ktena, A Kiraly, ... arXiv preprint arXiv:2405.03162, 2024 | 31 | 2024 |
Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human … S Ryali, T Chen, K Supekar, T Tu, J Kochalka, W Cai, V Menon Journal of neuroscience methods 268, 142-153, 2016 | 26 | 2016 |
Attentional bias to reminders of the deceased as compared with a living attachment in grieving N Schneck, T Tu, CA Michel, GA Bonanno, P Sajda, JJ Mann Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (2), 107-115, 2018 | 25 | 2018 |
Chirp-modulated visual evoked potential as a generalization of steady state visual evoked potential T Tu, Y Xin, X Gao, S Gao Journal of neural engineering 9 (1), 016008, 2011 | 23 | 2011 |
Large language models encode clinical knowledge. arXiv K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Preprint posted online December 26, 2022 | 22 | 2022 |
Large-scale network dynamics in neural response to emotionally negative stimuli linked to serotonin 1A binding in major depressive disorder N Schneck, T Tu, HR Falcone, JM Miller, F Zanderigo, ME Sublette, ... Molecular psychiatry 26 (6), 2393-2401, 2021 | 20 | 2021 |
Network configurations in the human brain reflect choice bias during rapid face processing T Tu, N Schneck, J Muraskin, P Sajda Journal of Neuroscience 37 (50), 12226-12237, 2017 | 17 | 2017 |
Tracking deceased-related thinking with neural pattern decoding of a cortical-basal ganglia circuit N Schneck, S Haufe, T Tu, GA Bonanno, KN Ochsner, P Sajda, JJ Mann Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2 (5), 421-429, 2017 | 17 | 2017 |
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI T Tu, J Paisley, S Haufe, P Sajda Advances in Neural Information Processing Systems 32, 2019 | 15 | 2019 |