The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network

Autor: Makeeva, Valeria, Gichoya, Judy, Hawkins, C. Matthew, Towbin, Alexander J., Heilbrun, Marta, Prater, Adam

Publikováno v: In Journal of the American College of Radiology September 2019 16(9) Part B:1254-1258

Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship.

Autor: Gerard, Roger, Makeeva, Valeria, Vey, Brianna, Cook, Tessa S., Nagy, Paul, Filice, Ross W., Wang, Kenneth C., Balthazar, Patricia, Harri, Peter, Safdar, Nabile M.

Publikováno v: Journal of Digital Imaging; Feb2023, Vol. 36 Issue 1, p1-10, 10p, 3 Charts, 2 Graphs

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The Impact of Team-Based Learning (TBL) on Physician Assistant Students' Academic Performance in Gross Anatomy.

Autor: Isbell, Jonathan A., Makeeva, Valeria, Caruthers, Kara, Brooks, William S.

Publikováno v: Journal of Physician Assistant Education (Lippincott Williams & Wilkins); Sep2016, Vol. 27 Issue 3, p126-130, 5p, 1 Diagram, 2 Charts, 3 Graphs

An Essential Roadmap for AI in Radiology.

Autor: Makeeva, Valeria

Publikováno v: ACR Bulletin; Sep2022, Vol. 77 Issue 9, p19-22, 2p