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Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.

Autor: Clunie DA; PixelMed Publishing., Flanders A; Thomas Jefferson University., Taylor A; Sage Bionetworks., Erickson B; Mayo Clinic., Bialecki B; American College of Radiology., Brundage D; Cornell University., Gutman D; Emory University., Prior F; University of Arkansas for Medical Sciences., Seibert JA; University of California, Davis., Perry J; Independent consultant., Gichoya JW; Emory University., Kirby J; Frederick National Laboratory for Cancer Research., Andriole K; Brigham and Women's Hospital., Geneslaw L; Memorial Sloan Kettering Cancer Center., Moore S; Washington University in St. Louis., Fitzgerald TJ; UMass Memorial Medical Center., Tellis W; University of California, San Francisco., Xiao Y; University of Pennsylvania Health System., Farahani K, Luo J; National Heart, Lung, and Blood Institute (NHLBI)., Rosenthal A; National Institute of Allergy and Infectious Diseases (NIAID)., Kandarpa K; National Institute of Biomedical Imaging and Bioengineering (NIBIB)., Rosen R; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)., Goetz K; National Eye Institute (NEI)., Babcock D; National Institute of Neurological Disorders and Stroke (NINDS)., Xu B; National Institute on Alcohol Abuse and Alcoholism (NIAAA)., Hsiao J; National Institute on Aging (NIA).

Publikováno v: ArXiv [ArXiv] 2023 Apr 01. Date of Electronic Publication: 2023 Apr 01.

Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements.

Autor: Valtchinov VI; Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA., Murphy SN; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.; i2b2 tranSMART Foundation, Wakefield, Massachusetts, USA., Lacson R; Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Ikonomov N; Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria., Zhai BK; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Andriole K; Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Rousseau J; Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, Texas, USA., Hanson D; Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.; i2b2 tranSMART Foundation, Wakefield, Massachusetts, USA., Khorasani R; Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Oct 07; Vol. 29 (11), pp. 1870-1878.

Artificial Intelligence-Based Methodologies for Early Diagnostic Precision and Personalized Therapeutic Strategies in Neuro-Ophthalmic and Neurodegenerative Pathologies.

Autor: Kumar, Rahul¹ (AUTHOR) rxk641@miami.edu, Waisberg, Ethan² (AUTHOR) ew690@cam.ac.uk, Ong, Joshua³ (AUTHOR) ongjo@med.umich.edu, Paladugu, Phani^4,5 (AUTHOR) phani.paladugu@students.jefferson.edu, Amiri, Dylan^6,7 (AUTHOR) daa250@miami.edu, Saintyl, Jeremy¹ (AUTHOR) jsaintyl13@gmail.com, Yelamanchi, Jahnavi⁸ (AUTHOR) jy4857@nyu.edu, Nahouraii, Robert⁷ (AUTHOR), Jagadeesan, Ram⁹ (AUTHOR) ramjagad@cisco.com, Tavakkoli, Alireza¹⁰ (AUTHOR) tavakkol@unr.edu

Publikováno v: Brain Sciences (2076-3425). Dec2024, Vol. 14 Issue 12, p1266. 22p.

Integrating multiple clinical information systems using the Java Message Service framework

Autor: Tellis, W M, Andriole, K P

Publikováno v: Tellis, W M; & Andriole, K P. (2004). Integrating multiple clinical information systems using the Java Message Service framework. Journal of Digital Imaging, 17(2), 80-86. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/3p30k14j

This article describes an application for capturing, delivering, and tracking urgent radiology exam results. Urgent exam findings are entered using a Web form embedded within the Picture archiving and communication system (PACS) display station. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::2cc1626614faf47cf478ea16b9f29c6f
http://www.escholarship.org/uc/item/3p30k14j