Systematic Review of Radiologist and Medical Student Attitudes on the Role and Impact of AI in Radiology

Autor: Santomartino, Samantha M. ^a, Yi, Paul H. ^{a, b, ⁎}

Publikováno v: In Academic Radiology November 2022 29(11):1748-1756

Systematic review of artificial intelligence development and evaluation for MRI diagnosis of knee ligament or meniscus tears.

Autor: Santomartino, Samantha M., Kung, Justin, Yi, Paul H.

Publikováno v: Skeletal Radiology; Mar2024, Vol. 53 Issue 3, p445-454, 10p

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Author Response to “Letter to the Editor: Academic Radiology Departments Should Lead Artificial Intelligence Initiatives”

Autor: Santomartino, Samantha M. ^a, Siegel, Eliot ^a, Yi, Paul H. ^{a, b, ⁎}

Publikováno v: In Academic Radiology July 2023 30(7):1519-1519

Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing.

Autor: Santomartino SM; From the Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, 1st Fl, Room 1172, Baltimore, MD 21201 (S.M.S., K.P., E.B., V.S.P., P.H.Y.); and Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Md (P.H.Y.)., Putman K; From the Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, 1st Fl, Room 1172, Baltimore, MD 21201 (S.M.S., K.P., E.B., V.S.P., P.H.Y.); and Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Md (P.H.Y.)., Beheshtian E; From the Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, 1st Fl, Room 1172, Baltimore, MD 21201 (S.M.S., K.P., E.B., V.S.P., P.H.Y.); and Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Md (P.H.Y.)., Parekh VS; From the Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, 1st Fl, Room 1172, Baltimore, MD 21201 (S.M.S., K.P., E.B., V.S.P., P.H.Y.); and Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Md (P.H.Y.)., Yi PH; From the Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, 1st Fl, Room 1172, Baltimore, MD 21201 (S.M.S., K.P., E.B., V.S.P., P.H.Y.); and Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Md (P.H.Y.).

Publikováno v: Radiology. Artificial intelligence [Radiol Artif Intell] 2024 May; Vol. 6 (3), pp. e230240.