Research output per year
Research output per year
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Dive into the research topics where Xiaoxi Yao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
Yao, X., Rushlow, D. R., Inselman, J. W., McCoy, R. G., Thacher, T. D., Behnken, E. M., Bernard, M. E., Rosas, S. L., Akfaly, A., Misra, A., Molling, P. E., Krien, J. S., Foss, R. M., Barry, B. A., Siontis, K. C., Kapa, S., Pellikka, P. A., Lopez-Jimenez, F., Attia, Z. I., Shah, N. D. & 2 others, , May 2021, In: Nature Medicine. 27, 5, p. 815-819 5 p.Research output: Contribution to journal › Article › peer-review
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Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial
Yao, X., Attia, Z. I., Behnken, E. M., Walvatne, K., Giblon, R. E., Liu, S., Siontis, K. C., Gersh, B. J., Graff-Radford, J., Rabinstein, A. A., Friedman, P. A. & Noseworthy, P. A., Sep 2021, In: American heart journal. 239, p. 73-79 7 p.Research output: Contribution to journal › Article › peer-review
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Cardiovascular outcomes and rates of fractures and falls among patients with brand-name versus generic L-thyroxine use
Brito, J. P., Ross, J. S., Deng, Y., Sangaralingham, L., Graham, D. J., Qiang, Y., Wang, Z., Yao, X., Zhao, L., Smallridge, R. C., Bernet, V., Shah, N. D. & Lipska, K. J., 2021, (Accepted/In press) In: Endocrine.Research output: Contribution to journal › Article › peer-review
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Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Herrin, J., Abraham, N. S., Yao, X., Noseworthy, P. A., Inselman, J., Shah, N. D. & Ngufor, C., May 21 2021, In: JAMA Network Open. 4, 5, 10703.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction
Tseng, A. S., Thao, V., Borah, B. J., Attia, I. Z., Medina Inojosa, J., Kapa, S., Carter, R. E., Friedman, P. A., Lopez-Jimenez, F., Yao, X. & Noseworthy, P. A., Jul 2021, In: Mayo Clinic proceedings. 96, 7, p. 1835-1844 10 p.Research output: Contribution to journal › Article › peer-review