6 results match your criteria: "UW Medical Center-Montlake[Affiliation]"
Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.
Radiology
January 2025
From the Department of Radiology, University of Washington, UW Medical Center-Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington, Seattle, Wash (D.M.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (M.v.A.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (M.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (T.L., E.E.W.); Departments of Cardiology and Radiology, Royal Brompton Hospital, London, United Kingdom (E.D.N.); School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom (E.D.N.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (B.D.A.); Department of Radiology, University of Cagliari, Cagliari, Italy (L.S.); Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1 Postbus 30 001, 9700 RB Groningen, the Netherlands (R.V.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada (K.H.).
Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.
View Article and Find Full Text PDFTreatment response assessment of acute pyelonephritis: A multi-reader DWI-based MRI approach.
Curr Probl Diagn Radiol
July 2024
Unit of Radiology, "Santissima Annunziata" Hospital, Chieti, Italy; ITAB - Institute for Advanced Biomedical Technologies, Gabriele d'Annunzio University of Chieti, Italy; Department of Innovative Technologies in Medicine & Dentistry, "G. d'Annunzio" University, Chieti, Italy. Electronic address:
Purpose: To evaluate the diagnostic accuracy of a structured reporting score (SRS) in treatment response assessment for acute pyelonephritis (APN) using a diffusion-weighted imaging (DWI) -based MRI approach. Additionally, we explored the influence of reader experience on the interpretation of SRS and DWI, including lesion conspicuity and measurements of Apparent Diffusion Coefficient (ADC) maps.
Methods: Follow-up DWI-based MRIs of 36 patients treated for APN between September 2021 and June 2023 were retrospectively reviewed by three readers.
Highlights 2023.
Radiol Cardiothorac Imaging
April 2024
From the Department of Radiology, SUNY Upstate Medical University, 750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington School of Medicine, Seattle, Wash (D.M.); Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health and Care Research, Sheffield Biomedical Research Centre, Sheffield, United Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Sichuan, China (L.W.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.).
publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. The journal published many innovative studies during 2023 and achieved an impact factor for the first time since its inaugural issue in 2019, with an impact factor of 7.0.
View Article and Find Full Text PDFRespiratory Distress in a 3-Week-Old Late Preterm Male Neonate.
Neoreviews
April 2024
Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA.
Respiratory Distress in a 3-Week-Old Late Preterm Male Neonate.
Neoreviews
April 2024
Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA.
Exercise training and cognition in multiple sclerosis: The GET Smart trial protocol.
Contemp Clin Trials
May 2021
Department of Rehabilitation Medicine, School of Medicine, University of Washington, Box 359612, Harborview Medical Center, 325 9(th) Ave, Seattle, WA 98104, USA; Departments of Rehabilitation Medicine and Neurology, University of Washington, Box 356490, UW Medical Center-Montlake, 1959 NE Pacific St., Seattle, WA 98195, USA.
Background And Objectives: Multiple sclerosis (MS) causes cognitive impairment in approximately 50% of cases. Disease modifying medications and cognitive rehabilitation produce only small positive effects on cognition in MS. Converging animal and human research suggests that aerobic exercise may improve cognition in people with MS, but definitive trials are lacking.
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