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EP3696819
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EP About this file: EP3696819
| EP3696819 - CALCULATION OF DIAGNOSTIC SIMILARITY BETWEEN DIFFERENT MR PROTOCOLS [Right-click to bookmark this link] | Status | The application is deemed to be withdrawn Status updated on 25.06.2021 Database last updated on 30.07.2024 | |
| Former | The application has been published Status updated on 17.07.2020 | Most recent event Tooltip | 25.06.2021 | Application deemed to be withdrawn | published on 28.07.2021 [2021/30] | Applicant(s) | For all designated states Siemens Healthcare GmbH Henkestraße 127 91052 Erlangen / DE | [2020/34] | Inventor(s) | 01 /
Blum, Christian Zum Brandbach 5 91077 Neunkirchen am Brand / DE | 02 /
Blum, Thomas Zum Brandbach 5 91077 Neunkirchen am Brand / DE | [2020/34] | Application number, filing date | 19156936.7 | 13.02.2019 | [2020/34] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP3696819 | Date: | 19.08.2020 | Language: | EN | [2020/34] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 09.07.2019 | Classification | IPC: | G16H30/00, G16H40/60, G16H50/00 | [2020/34] | CPC: |
G16H50/70 (EP);
G16H30/20 (EP);
G16H40/63 (EP);
G16H50/20 (EP)
| Designated contracting states | AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2020/34] | Extension states | BA | Not yet paid | ME | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | BERECHNUNG DER DIAGNOSTISCHEN ÄHNLICHKEIT ZWISCHEN VERSCHIEDENEN MR-PROTOKOLLEN | [2020/34] | English: | CALCULATION OF DIAGNOSTIC SIMILARITY BETWEEN DIFFERENT MR PROTOCOLS | [2020/34] | French: | CALCUL DE SIMILARITÉ DE DIAGNOSTIC ENTRE DIFFÉRENTS PROTOCOLES DE RM | [2020/34] | Examination procedure | 20.02.2021 | Application deemed to be withdrawn, date of legal effect [2021/30] | 15.03.2021 | Despatch of communication that the application is deemed to be withdrawn, reason: examination fee not paid in time [2021/30] | Fees paid | Penalty fee | Additional fee for renewal fee | 28.02.2021 | 03 M06 Not yet paid |
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| Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [A]US2018068070 (KEIL MIRIAM [DE]) [A] 1-15 * paragraphs [0024] - [0081] *; | [I]WO2018085788 (THE UNIV OF NORTH CAROLINA AT CHAPEL HILL OFFICE OF COMMERCIALIZATION AND ECONOMIC DEVELOPMENT [US]) [I] 1-15 * page 4, line 31 - page 13, line 16 *; | [I]US2018254098 (ALLMENDINGER THOMAS [DE], et al) [I] 1-15 * paragraphs [0075] - [0183] *; | [A]US2018330818 (HSIEH JONG-JYH [KR], et al) [A] 1-15 * paragraphs [0087] - [0395] *; | [I] - LEE YOUNG HAN, "Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks", JOURNAL OF DIGITAL IMAGING, SPRINGER-VERLAG, CHAM, vol. 31, no. 5, doi:10.1007/S10278-018-0066-Y, ISSN 0897-1889, (20180404), pages 604 - 610, (20180404), XP036596714 [I] 1-15 * the whole document * DOI: http://dx.doi.org/10.1007/s10278-018-0066-y | [I] - Jae Ho Sohn ET AL, "Development and validation of machine learning based natural language classifiers to automatically assign MRI abdomen/pelvis protocols from free-text clinical indications Background", (20170101), URL: https://cdn.ymaws.com/siim.org/resource/resmgr/siim2017/presentations/siim17_analytics_deep1-sohn.pdf, (20190628), XP055600631 [I] 1-15 * the whole document * | [I] - ANDREW D BROWN ET AL, "Using machine learning for sequence-level automated MRI protocol selection in neuroradiology", JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, AMSTERDAM, NL, (20171027), vol. 25, no. 5, doi:10.1093/jamia/ocx125, ISSN 1067-5027, pages 568 - 571, XP055600609 [I] 1-15 * the whole document * DOI: http://dx.doi.org/10.1093/jamia/ocx125 | [A] - Anonymous, "Statistical classification - Wikipedia", (20190130), URL: https://en.wikipedia.org/w/index.php?title=Statistical_classification&oldid=880910334, (20190701), XP055601063 [A] 1-15 |