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Artificial intelligence for personalized management of vestibular schwannoma: a multidisciplinary clinical implementation study.

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第一作者： Navodini,Wijethilake

第一单位： School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.

作者： Navodini,Wijethilake ^[1] ; Steve,Connor ^[2] ; Anna,Oviedova ^[3] ; Marina,Ivory ^[1] ; Rebecca,Burger ^[3] ; Jeromel,De Leon De Sagun ^[3] ; Amanda,Hitchings ^[3] ; Ahmed,Abougamil ^[3] ; Theofanis,Giannis ^[3] ; Christoforos,Syrris ^[3] ; Kazumi,Chia ^[4] ; Omar,Al-Salihi ^[4] ; Rupert,Obholzer ^[4] ; Dan,Jiang ^[4] ; Eleni,Maratos ^[3] ; Sinan,Barazi ^[3] ; Nick,Thomas ^[3] ; Tom,Vercauteren ^[1] ; Jonathan,Shapey ^[2]

作者单位： School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom. ^[1] School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.;King's College Hospital NHS Foundation Trust, London SE5 9RS, United Kingdom. ^[2] King's College Hospital NHS Foundation Trust, London SE5 9RS, United Kingdom. ^[3] Guy's and St Thomas' NHS Foundation Trust, London SE1 9RT, United Kingdom. ^[4]

关键词 deep learning feature extraction personalized management segmentation vestibular schwannoma

DOI 10.1093/jamiaopen/ooaf163

PMID 41502533

发布时间 2026-01-10

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