Bryan, R. Nick

Effects of intensive glucose lowering on brain structure and function in people with type 2 diabetes (ACCORD MIND): a randomised open-label substudy

Launer, L. J., Miller, M. E., Williamson, J. D., Lazar, R. M., Gerstein, H. C., Murray, A. M., Sullivan, M., Horowitz, K. R., Ding, J., Marcovina, S., et al. (2011) · The Lancet Neurology

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Artificial intelligence for precision education in radiology

Duong, M. T., Rauschecker, A. M., Rudie, J. D., Chen, P.-H., Cook, T. S., Bryan, R. N., & Mohan, S. (2019) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

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Cognitive Function and Brain Structure in Persons With Type 2 Diabetes Mellitus After Intensive Lowering of Blood Pressure and Lipid Levels: A Randomized Clinical Trial

Williamson, J. D., Launer, L. J., Bryan, R. N., Coker, L. H., Lazar, R. M., Gerstein, H. C., Murray, A. M., Sullivan, M. D., Horowitz, K. R., Ding, J., et al. (2014) · JAMA Internal Medicine

Dementia and Cognitive Impairment ResearchDiabetes Treatment and Management

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The Brain Chart of Aging: Machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans

Habes, M., Pomponio, R., Shou, H., Doshi, J., Mamourian, E., Erus, G., Nasrallah, I., Launer, L. J., Rashid, T., Bilgel, M., et al. (2021) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

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Artificial Intelligence: Threat or Boon to Radiologists?

Recht, M., & Bryan, R. N. (2017) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

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Artificial intelligence system approaching neuroradiologist-level differential diagnosis accuracy at brain MRI

Rauschecker, A. M., Rudie, J. D., Xie, L., Wang, J., Duong, M. T., Botzolakis, E. J., Kovalovich, A. M., Egan, J., Cook, T. C., Bryan, R. N., et al. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationBrain Tumor Detection and Classification

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Vascular factors and multiple measures of early brain health: CARDIA brain MRI study

Launer, L. J., Lewis, C. E., Schreiner, P. J., Sidney, S., Battapady, H., Jacobs, D. R., Lim, K. O., D’Esposito, M., Zhang, Q., Reis, J., et al. (2015) · PLOS ONE

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

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Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Vojinovic, D., Adams, H. H., Jian, X., Yang, Q., Smith, A. V., Bis, J. C., Teumer, A., Scholz, M., Armstrong, N. J., Hofer, E., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyCerebrospinal fluid and hydrocephalus

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Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals

Skampardoni, I., Nasrallah, I. M., Abdulkadir, A., Wen, J., Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z., et al. (2024) · JAMA Psychiatry

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

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Effect of Hypoglycemia on Brain Structure in People With Type 2 Diabetes: Epidemiological Analysis of the ACCORD-MIND MRI Trial

Zhang, Z., Lovato, J., Battapady, H., Davatzikos, C., Gerstein, H. C., Ismail-Beigi, F., Launer, L. J., Murray, A., Punthakee, Z., Tirado, A. A., et al. (2014) · Diabetes Care

Diabetes Management and ResearchDementia and Cognitive Impairment Research

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