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Facilitating the use of routine data to evaluate artificial intelligence solutions: lessons from the NIHR/RCR data curation workshop.
Shelmerdine SC, Hickman SE, Jackson N, Cronheim D, Taylor J, Swift AJ, Thurston M, Davies A, Ather S, Doran S, Nash J, Rockall AG; RCR AI Committee & NIHR Imaging Science Working Group. Shelmerdine SC, et al. Clin Radiol. 2024 Dec;79(12):892-902. doi: 10.1016/j.crad.2024.08.026. Epub 2024 Aug 28. Clin Radiol. 2024. PMID: 39366889 Review.
AI and ML in radiology: Making progress.
Rockall AG, Shelmerdine SC, Chen M. Rockall AG, et al. Among authors: shelmerdine sc. Clin Radiol. 2023 Feb;78(2):81-82. doi: 10.1016/j.crad.2022.10.010. Clin Radiol. 2023. PMID: 36639174 No abstract available.
Artificial intelligence in paediatric radiology: Future opportunities.
Davendralingam N, Sebire NJ, Arthurs OJ, Shelmerdine SC. Davendralingam N, et al. Among authors: shelmerdine sc. Br J Radiol. 2021 Jan 1;94(1117):20200975. doi: 10.1259/bjr.20200975. Epub 2020 Sep 17. Br J Radiol. 2021. PMID: 32941736 Free PMC article. Review.
The unintended consequences of artificial intelligence in paediatric radiology.
Ciet P, Eade C, Ho ML, Laborie LB, Mahomed N, Naidoo J, Pace E, Segal B, Toso S, Tschauner S, Vamyanmane DK, Wagner MW, Shelmerdine SC. Ciet P, et al. Among authors: shelmerdine sc. Pediatr Radiol. 2024 Apr;54(4):585-593. doi: 10.1007/s00247-023-05746-y. Epub 2023 Sep 4. Pediatr Radiol. 2024. PMID: 37665368
Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study.
Novak A, Hollowday M, Espinosa Morgado AT, Oke J, Shelmerdine S, Woznitza N, Metcalfe D, Costa ML, Wilson S, Kiam JS, Vaz J, Limphaibool N, Ventre J, Jones D, Greenhalgh L, Gleeson F, Welch N, Mistry A, Devic N, Teh J, Ather S. Novak A, et al. BMJ Open. 2024 Sep 5;14(9):e086061. doi: 10.1136/bmjopen-2024-086061. BMJ Open. 2024. PMID: 39237277 Free PMC article.
129 results