Below are the most recent publications written about "Observer Variation" by people in Profiles.
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Portnow LH, Choridah L, Kardinah K, Handarini T, Pijnappel R, Bluekens AMJ, Duijm LEM, Schoub PK, Smilg PS, Malek L, Leung JWT, Raza S. International Interobserver Variability of Breast Density Assessment. J Am Coll Radiol. 2023 07; 20(7):671-684.
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Green O, Knee A, Patino A, Modahl L, Liautaud S. The effect of a training webinar on decreasing inter-observer variability in making a radiologic diagnosis of bronchiectasis. BMC Med Imaging. 2022 08 24; 22(1):148.
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Dhakar MB, Sheikh ZB, Desai M, Desai RA, Sternberg EJ, Popescu C, Baron-Lee J, Rampal N, Hirsch LJ, Gilmore EJ, Maciel CB. Developing a Standardized Approach to Grading the Level of Brain Dysfunction on EEG. J Clin Neurophysiol. 2023 Sep 01; 40(6):553-561.
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Portnow LH, Georgian-Smith D, Haider I, Barrios M, Bay CP, Nelson KP, Raza S. Persistent inter-observer variability of breast density assessment using BI-RADS? 5th edition guidelines. Clin Imaging. 2022 Mar; 83:21-27.
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Soares WE, Knee A, Gemme SR, Hambrecht R, Dybas S, Poronsky KE, Mader SC, Mader TJ. A Prospective Evaluation of Clinical HEART Score Agreement, Accuracy, and Adherence in Emergency Department Chest Pain Patients. Ann Emerg Med. 2021 08; 78(2):231-241.
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Mulvaney PM, Piris A, Besaw RJ, Schmults CD. Diagnostic Biopsy via In-Office Frozen Sections for Clinical Nonmelanoma Skin Cancer. Dermatol Surg. 2021 02 01; 47(2):194-199.
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Karimi Z, Phillips J, Slanetz P, Lotfi P, Dialani V, Karimova J, Mehta T. Factors Associated With Background Parenchymal Enhancement on Contrast-Enhanced Mammography. AJR Am J Roentgenol. 2021 02; 216(2):340-348.
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Chang YM, Tenenbaum M, Xiong Y, Selim M, Bhadelia R, Hacein-Bey L, Ivanovic V. Brain Computed Tomography Angiography Maximum Intensity Projection Images for ASPECTS Derivation and Detection of Large Infarct Volumes: Preliminary Study. J Stroke Cerebrovasc Dis. 2021 Mar; 30(3):105548.
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Marya NB, Powers PD, Chari ST, Gleeson FC, Leggett CL, Abu Dayyeh BK, Chandrasekhara V, Iyer PG, Majumder S, Pearson RK, Petersen BT, Rajan E, Sawas T, Storm AC, Vege SS, Chen S, Long Z, Hough DM, Mara K, Levy MJ. Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis. Gut. 2021 07; 70(7):1335-1344.
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Bloom PP, Pasricha TS, Andersson KL, Pratt DS, Hashemi N, Bhan I, Viveiros K. Hepatology Consultants Often Disagree on Etiology of Abnormal Liver Biochemistries in COVID-19 but Agree on Management. Dig Dis Sci. 2021 06; 66(6):1852-1854.