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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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Health Platform, advancing interdisciplinary research at the intersection of artificial intelligence, bioinformatics, and equity in Asian health research. Various projects may include: Contribute
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disparities in care. Methods include artificial intelligence approaches for analyzing electronic health records data, quality improvement methodology, engagement of and collaboration with community stakeholders
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. Guolan Lu in the Department of Urology at Stanford University School of Medicine. The Lu Lab develops and integrates cutting-edge technologies in biomedical imaging, artificial intelligence, and spatial
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endocrinology services. Finally, we have projects evaluating opportunities to improve diagnosis and management of oculoplastic disease using artificial intelligence and opportunities to expand the reach of eye
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to investigate the pathogenesis and treatment of optic neuropathies, which includes studies using multimodal assessments including measurements of visual function and structure. We will use noninvasive
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in the Department of Urology at the Stanford University School of Medicine and will be affiliated with Department of Radiation Oncology and the Center for Artificial Intelligence in Medicine & Imaging