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Keith Jay Dreyer, Ph.D., D.O.

Co-Author

This page shows the publications co-authored by Keith Dreyer and Bernardo Canedo Bizzo.
Connection Strength

1.771
  1. FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies. Acad Radiol. 2022 04; 29(4):559-566.
    View in: PubMed
    Score: 0.475
  2. Complex Relationship Between Artificial Intelligence and CT Radiation Dose. Acad Radiol. 2021 Nov 23.
    View in: PubMed
    Score: 0.472
  3. Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT. Acad Radiol. 2022 08; 29(8):1189-1195.
    View in: PubMed
    Score: 0.468
  4. Validation pipeline for machine learning algorithm assessment for multiple vendors. PLoS One. 2022; 17(4):e0267213.
    View in: PubMed
    Score: 0.122
  5. Predictive values of AI-based triage model in suboptimal CT pulmonary angiography. Clin Imaging. 2022 Jun; 86:25-30.
    View in: PubMed
    Score: 0.121
  6. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med. 2021 10; 27(10):1735-1743.
    View in: PubMed
    Score: 0.058
  7. Federated Learning used for predicting outcomes in SARS-COV-2 patients. Res Sq. 2021 Jan 08.
    View in: PubMed
    Score: 0.056
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.