Development and multi-center evaluation of domain-adapted speech recognition for human-AI teaming in real-world gastrointestinal endoscopy

Researchers have developed EndoASR, an advanced speech recognition system tailored for gastrointestinal endoscopy, which significantly enhances transcription accuracy and usability under challenging acoustic conditions. This development is crucial for improving the reliability of human-AI interaction in medical settings, with potential to streamline clinical workflows and enhance patient care through better integration with large language models.

Read the full article at arXiv cs.CL (NLP)

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