A synthetic-data pipeline and fine-tuned LLM system, EmoScan, screens for depressive and anxiety disorders from generated clinical interviews, outperforming GPT-4 on synthetic test data but only slightly on an external dataset.
During this process, we instructed GPT-4 to act as a client, responding to the psychiatrist's questions, while providing it with the relevant patient information
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Enhanced Large Language Models for Effective Screening of Depression and Anxiety
A synthetic-data pipeline and fine-tuned LLM system, EmoScan, screens for depressive and anxiety disorders from generated clinical interviews, outperforming GPT-4 on synthetic test data but only slightly on an external dataset.