Navigating the reporting guideline environment for computational pathology: A review

Autor: McGenity, Clare, Treanor, Darren

The application of new artificial intelligence (AI) discoveries is transforming healthcare research. However, the standards of reporting are variable in this still evolving field, leading to potential research waste. The aim of this work is to highli

Externí odkaz: http://arxiv.org/abs/2301.09985

Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines

Autor: McGenity, Clare, Bossuyt, Patrick, Treanor, Darren

Publikováno v: In Journal of Pathology Informatics 2022 13

Determining the diagnosis of an oncocytic renal neoplasm: a case report.

Autor: McGenity, Clare, Vlies, Simon, Roulson, Jo-An

Publikováno v: Diagnostic Histopathology; May2024, Vol. 30 Issue 5, p297-300, 4p

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence

Autor: Vasey, Baptiste, Nagendran, Myura, Campbell, Bruce, Clifton, David A, Collins, Gary S., Denaxas, Spiros, Denniston, Alastair K., Faes, Livia, Geerts, Bart, Ibrahim, Mudathir, Liu, Xiaoxuan, Mateen, Bilal A., Mathur, Piyush, Mccradden, Melissa D., Morgan, Lauren, Ordish, Johan, Rogers, Campbell, Saria, Suchi, Ting, Daniel S. W., Watkinson, Peter, Weber, Wim, Wheatstone, Peter, Mcculloch, Peter, Lee, Aaron Y., Fraser, Alan G., Connell, Ali, Vira, Alykhan, Esteva, Andre, Althouse, Andrew D., Beam, Andrew L., de Hond, Anne, Boulesteix, Anne-Laure, Bradlow, Anthony, Ercole, Ari, Paez, Arsenio, Tsanas, Athanasios, Kirby, Barry, Glocker, Ben, Velardo, Carmelo, Park, Chang Min, Hehakaya, Charisma, Baber, Chris, Paton, Chris, Johner, Christian, Kelly, Christopher J., Vincent, Christopher J., Yau, Christopher, Mcgenity, Clare, Gatsonis, Constantine, Faivre-Finn, Corinne, Simon, Crispin, Sent, Danielle, Bzdok, Danilo, Treanor, Darren, Clifton, David A., Wong, David C., Steiner, David F., Higgins, David, Benson, Dawn, O’Regan, Declan P., Gunasekaran, Dinesh V., Danks, Dominic, Neri, Emanuele, Kyrimi, Evangelia, Schwendicke, Falk, Magrabi, Farah, Ives, Frances, Rademakers, Frank E., Fowler, George E., Frau, Giuseppe, Hogg, H. D. Jeffry, Marcus, Hani J., Chan, Heang-Ping, Xiang, Henry, Mcintyre, Hugh F., Harvey, Hugh, Kim, Hyungjin, Habli, Ibrahim, Fackler, James C., Shaw, James, Higham, Janet, Wohlgemut, Jared M., Chong, Jaron, Bibault, Jean-Emmanuel, Cohen, Jérémie F., Kers, Jesper, Morley, Jessica, Krois, Joachim, Monteiro, Joao, Horovitz, Joel, Fletcher, John, Taylor, Jonathan, Yoon, Jung Hyun, Singh, Karandeep, Moons, Karel G. M., Karpathakis, Kassandra, Catchpole, Ken, Hood, Kerenza, Balaskas, Konstantinos, Kamnitsas, Konstantinos, Militello, Laura, Wynants, Laure, Oakden-Rayner, Lauren, Lovat, Laurence B., Smits, Luc J. M., Hinske, Ludwig C., Elzarrad, M. Khair, van Smeden, Maarten, Giavina-Bianchi, Mara, Daley, Mark, Sendak, Mark P., Sujan, Mark, Rovers, Maroeska, Decamp, Matthew, Woodward, Matthew, Komorowski, Matthieu, Marsden, Max, Mackintosh, Maxine, Abramoff, Michael D., de la Hoz, Miguel Ángel Armengol, Hambidge, Neale, Daly, Neil, Peek, Niels, Redfern, Oliver, Ahmad, Omer F., Bossuyt, Patrick M., Keane, Pearse A., Ferreira, Pedro N. P., Schnell-Inderst, Petra, Mascagni, Pietro, Dasgupta, Prokar, Guan, Pujun, Barnett, Rachel, Kader, Rawen, Chopra, Reena, Mann, Ritse M., Sarkar, Rupa, Mäenpää, Saana M., Finlayson, Samuel G., Vollam, Sarah, Vollmer, Sebastian J., Park, Seong Ho, Laher, Shakir, Joshi, Shalmali, van der Meijden, Siri L., Shelmerdine, Susan C., Tan, Tien-En, Stocker, Tom J. W., Giannini, Valentina, Madai, Vince I., Newcombe, Virginia, Wei Yan, Ng, Rogers, Wendy A., Ogallo, William, Park, Yoonyoung, Perkins, Zane B.

Publikováno v: Nature Medicine, 28, 5, pp. 924-933
Nature Medicine, 28, 924-933
the DECIDE-AI expert group 2022, ' Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence : DECIDE-AI ', Nature Medicine, vol. 28, no. 5, pp. 924-933 . https://doi.org/10.1038/s41591-022-01772-9

A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494201e4e9c4ed8004edc11458c67580
https://doi.org/10.1038/s41591-022-01772-9

Importance of molecular testing in stratification of paediatric low-grade gliomas: a case study.

Autor: McGenity, Clare, Anichtchik, Oleg, Ismail, Azzam

Publikováno v: Diagnostic Histopathology; Dec2023, Vol. 29 Issue 12, p563-565, 3p