ASR Systems Achieve Varied Orthodontic Transcription Accuracy

Researchers in southern England and Zurich published a cross-sectional study in the Journal of Dental Research evaluating transcription accuracy of 10 automatic speech recognition (ASR) systems for narrated orthodontic clinical records. Using Domain Word Error Rate (DWER), they found GPT4o TranscribeCorrected had 3.47% DWER, GPT4o Transcribe and Heidi Health had 7.6% and 6.1% respectively, while Dragon systems reached 29–48% and background noise increased errors.
Scoring Rationale
Peer-reviewed study with actionable comparative results, but limited scope to orthodontic recordings and selected systems.
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