Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms.

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第一作者： Nisha,Sharma

第一单位： The Leeds Teaching Hospital NHS Trust, Leeds, UK.

作者： Nisha,Sharma ^[1] ; Annie Y,Ng ^[2] ; Jonathan J,James ^[3] ; Galvin,Khara ^[4] ; Éva,Ambrózay ^[5] ; Christopher C,Austin ^[4] ; Gábor,Forrai ^[6] ; Georgia,Fox ^[4] ; Ben,Glocker ^[7] ; Andreas,Heindl ^[4] ; Edit,Karpati ^[8] ; Tobias M,Rijken ^[4] ; Vignesh,Venkataraman ^[4] ; Joseph E,Yearsley ^[4] ; Peter D,Kecskemethy ^[4]

作者单位： The Leeds Teaching Hospital NHS Trust, Leeds, UK. ^[1] Kheiron Medical Technologies, London, UK. annie@kheironmed.com. ^[2] Nottingham Breast Institute, City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK. ^[3] Kheiron Medical Technologies, London, UK. ^[4] MaMMa Egészségügyi Zrt, Budapest, Hungary. ^[5] Duna Medical Center, Budapest, Hungary.;GÉ-RAD Kft, Budapest, Hungary. ^[6] Kheiron Medical Technologies, London, UK.;Department of Computing, Imperial College London, London, UK. ^[7] Kheiron Medical Technologies, London, UK.;Medicover, Budapest, Hungary. ^[8]

关键词 Breast cancer screening artificial intelligence digital mammography generalisability