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[Edeka does all--machine speech recognition in social medicine expert testimony].

1998·0 Zitationen·PubMed
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0

Zitationen

4

Autoren

1998

Jahr

Abstract

The system's poor performance on unknown text and the missing reduction in the error rate during the training phase are obviously not due to any incompetence of the system but to the huge amount of technical jargon in the scope of medical writing. To attain an acceptable performance we suggest to either extend the training phase, or, preferably, to confine the application to a single medical subspecialty. Its overwhelming learning ability makes the system a serious candidate typist in the sphere of sociomedicine.

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Interpreting and Communication in HealthcareArtificial Intelligence in Healthcare and EducationRadiology practices and education
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