Transcription accuracy of ambient voice technologies for dictation of surgical notes

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Authors: Ruairí O’Kane, Daniel Stonehouse‐Smith, Jadbinder Seehra, Spyridon N. Papageorgiou, Martyn T. Cobourne
Cited by: 0

Abstract

Dataset for all analyses. Access will be initially given to the editor and peer-reviewers during the review phase. After acceptance, unrestricted access will be given to all.

Fields of Study & Subjects

Speech Recognition and Synthesis Electronic Health Records Systems Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026
Document type
Dataset