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Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case.
Escudero Sanchez, Lorena; Buddenkotte, Thomas; Al Sa'd, Mohammad; McCague, Cathal; Darcy, James; Rundo, Leonardo; Samoshkin, Alex; Graves, Martin J; Hollamby, Victoria; Browne, Paul; Crispin-Ortuzar, Mireia; Woitek, Ramona; Sala, Evis; Schönlieb, Carola-Bibiane; Doran, Simon J; Öktem, Ozan.
Afiliación
  • Escudero Sanchez L; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Buddenkotte T; Cancer Research UK Cambridge Centre, Li Ka Shing Centre, Cambridge CB2 0RE, UK.
  • Al Sa'd M; National Cancer Imaging Translational Accelerator (NCITA) Consortium, UK.
  • McCague C; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Darcy J; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK.
  • Rundo L; Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, 20246 Hamburg, Germany.
  • Samoshkin A; Jung Diagnostics GmbH, 22335 Hamburg, Germany.
  • Graves MJ; National Cancer Imaging Translational Accelerator (NCITA) Consortium, UK.
  • Hollamby V; Cancer Imaging Centre, Department of Surgery & Cancer, Imperial College, London SW7 2AZ, UK.
  • Browne P; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Crispin-Ortuzar M; Cancer Research UK Cambridge Centre, Li Ka Shing Centre, Cambridge CB2 0RE, UK.
  • Woitek R; Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.
  • Sala E; National Cancer Imaging Translational Accelerator (NCITA) Consortium, UK.
  • Schönlieb CB; Division of Radiotherapy and Imaging, Institute of Cancer Research, London SW7 3RP, UK.
  • Doran SJ; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Öktem O; Cancer Research UK Cambridge Centre, Li Ka Shing Centre, Cambridge CB2 0RE, UK.
Diagnostics (Basel) ; 13(17)2023 Aug 30.
Article en En | MEDLINE | ID: mdl-37685352

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido