Corrigendum to 'Use of an ambient artificial intelligence tool to improve quality of clinical documentation' Volume 11, Issue 3, September 2024, 100157.

Abstract

Authors

• Jasmine Balloch
  TORTUS AI, Holborn Town Hall, London, UK.
• Shankar Sridharan
  Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
• Geralyn Oldham
  Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
• Jo Wray
  Centre for Outcomes and Experience Research in Children's Health, Illness and Disability (ORCHID), Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
• Paul Gough
  Data Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
• Robert Robinson
  Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
• Neil J Sebire
  Health Data Research UK, London, UK.
• Saleh Khalil
  TORTUS AI, Holborn Town Hall, London, UK.
• Elham Asgari
  TORTUS AI, Holborn Town Hall, London, UK.
• Christopher Tan
  TORTUS AI, Holborn Town Hall, London, UK.
• Andrew Taylor
  From the Departments of Urology (T.C., M.U., H.C.C., M.S.) and Radiology and Biomedical Imaging (J.M., M.P.K., A.T., P.J., R.G., S.W.), University of California, San Francisco. 505 Parnassus Ave, M-391, San Francisco, CA 94143; and Division of Urology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, The Thai Red Cross Society, Bangkok, Thailand (M.U.).
• Dominic Pimenta
  TORTUS AI, Holborn Town Hall, London, UK.

Keywords

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