Fig. 1: The overall framework for diagnosing autism and identifying language disorders. | npj Digital Medicine

Fig. 1: The overall framework for diagnosing autism and identifying language disorders.

From: Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features

Fig. 1: The overall framework for diagnosing autism and identifying language disorders.

The conversation is first passed to stages of speaker diarization and audio transcription. Then we designed two prompts for GPT-based Models to generate a response parser. The generated response parser was mapped to an A4 Score (based on domain knowledge from ADOS-2 Module 4): Stereotyped/Idiosyncratic Use of Words or Phrases (see Table 3).

Back to article page