Correction: System Architecture for 'Support Through Mobile Messaging and Digital Health Technology for Diabetes' (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies

Autor: Chi, Yuan, Velardo, Carmelo, Allen, Julie, Robinson, Stephanie, Riga, Evgenia, Judge, David, Tarassenko, Lionel, Farmer, Andrew J

Publikováno v: JMIR Formative Research, Vol 5, Iss 4, p e29451 (2021)

Externí odkaz: https://doaj.org/article/b92ed654702f4063b8d7631e7a82626b

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Autor: Velardo, Carmelo, Clifton, David, Hamblin, Steven, Khan, Rabia, Tarassenko, Lionel, Mackillop, Lucy

Publikováno v: Journal of Medical Internet Research, Vol 23, Iss 3, p e21435 (2021)

BackgroundSuccessful management of gestational diabetes mellitus (GDM) reduces the risk of morbidity in women and newborns. A woman’s blood glucose readings and risk factors are used by clinical staff to make decisions regarding the initiation of p

Externí odkaz: https://doaj.org/article/978de4270e134861aac11c9aee1d4b08

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

Autor: Mackillop, Lucy, Hirst, Jane Elizabeth, Bartlett, Katy Jane, Birks, Jacqueline Susan, Clifton, Lei, Farmer, Andrew J, Gibson, Oliver, Kenworthy, Yvonne, Levy, Jonathan Cummings, Loerup, Lise, Rivero-Arias, Oliver, Ming, Wai-Kit, Velardo, Carmelo, Tarassenko, Lionel

Publikováno v: JMIR mHealth and uHealth, Vol 6, Iss 3, p e71 (2018)

BackgroundTreatment of hyperglycemia in women with gestational diabetes mellitus (GDM) is associated with improved maternal and neonatal outcomes and requires intensive clinical input. This is currently achieved by hospital clinic attendance every 2

Externí odkaz: https://doaj.org/article/74e0c91342014439bd30570d42ea6c6b

Algorithmic comparison of patient-reported blood glucose diary records with meters’ memory in gestational diabetes

Autor: Salvi, Dario, Velardo, Carmelo, Mackillop, Lucy, Tarassenko, Lionel

Publikováno v: In Informatics in Medicine Unlocked 2020 20

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