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Protocol: A national priority setting partnership using a Delphi consensus process to develop neonatal research questions suitable for practice-changing randomised trials in the United Kingdom

Autor: Evans, K, Battersby, C, Boardman, J, Carroll, W, Dinwiddy, K, Dorling, J, Gallagher, K, Hardy, P, Johnston, E, Mactier, H, Marcroft, C, Webbe, J, Gale, C

Introduction. Methodologically robust clinical trials are required to improve neonatal care and reduce unwanted variations in practice. Previous neonatal research prioritisation processes have identified important research themes rather than specific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::7ae68b638018c0c1862357f6d59e3965
http://hdl.handle.net/10044/1/99780

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Does work have to be so painful? A review of the literature examining the effects of fibromyalgia on the working experience from the patient perspective.

Autor: Mukhida, K.¹ (AUTHOR) kmukhida@dal.ca, Carroll, W.² (AUTHOR), Arseneault, R.² (AUTHOR)

Publikováno v: Canadian Journal of Pain. 2020, Vol. 4 Issue 1, p268-286. 19p.

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Artificial intelligence extension of the OSCAR-IB criteria

Autor: Petzold, A., Albrecht, P., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., Jensen, G. P., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., Zimmermann, H.

Publikováno v: Petzold, A, Albrecht, P, Balcer, L, Bekkers, E, Brandt, A U, Calabresi, P A, Deborah, O G, Graves, J S, Green, A, Keane, P A, Nij Bijvank, J A, Sander, J W, Paul, F, Saidha, S, Villoslada, P, Wagner, S K, Yeh, E A & the IMSVISUAL, ERN-EYE Consortium 2021, ' Artificial intelligence extension of the OSCAR-IB criteria ', Annals of Clinical and Translational Neurology, vol. 8, no. 7, pp. 1528-1542 . https://doi.org/10.1002/acn3.51320
the IMSVISUAL, ERN-EYE Consortium 2021, ' Artificial intelligence extension of the OSCAR-IB criteria ', Annals of Clinical and Translational Neurology, vol. 8, no. 7, pp. 1528-1542 . https://doi.org/10.1002/acn3.51320
Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology, Vol 8, Iss 7, Pp 1528-1542 (2021)

Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab75a15c7ed188859f7ddc8d47650216
https://openaccess.city.ac.uk/id/eprint/26361/1/acn3.51320.pdf

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