335 citations · 363 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 28 cited
Towards Generalist Biomedical AI
Tao Tu, Shekoofeh Azizi, Danny Driess +29
Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly en…
cs.CL2023★ 335 cited
Towards Expert-Level Medical Question Answering with Large Language Models
Karan Singhal, Tao Tu, Juraj Gottweis +28
Recent artificial intelligence (AI) systems have reached milestones in "grand challenges" ranging from Go to protein-folding. The capability to retrieve medical knowledge, reason o…
q-bio.NC2022
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI
Xueqing Liu, Tao Tu, Paul Sajda
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution. Challenging has been developing principled and interpreta…