This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (632) Chatbots and Conversational Agents (633) Generative Language Models Including ChatGPT (497) AI Language Models in Health Care (106) Clinical Mental Health Informatics (50) Transdiagnostic Mental Health Interventions (188) Artificial Intelligence (1740) Clinical Informatics (1162) Electronic Health Records (1183)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58418, first published .
Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study

Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study

Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study

Authors of this article:

Jae-hee So1 Author Orcid Image ;   Joonhwan Chang1 Author Orcid Image ;   Eunji Kim2, 3 Author Orcid Image ;   Junho Na1 Author Orcid Image ;   JiYeon Choi4, 5 Author Orcid Image ;   Jy-yong Sohn1 Author Orcid Image ;   Byung-Hoon Kim2, 3, 5, 6 Author Orcid Image ;   Sang Hui Chu4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics
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NerfGun NerfGun @Gunzeroni

???? New Research Alert ???? Large Language Models (LLMs) are revolutionizing psychiatric interviews, aiding in symptom delineation and summarization. This innovative study explores their potential in enhancing mental health care. #LLMs #Psychiatry #MentalHe… https://t.co/FrRVBZh67h

4:05 AM · Mar 27, 2024

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AI Papers AI Papers @SciFi

Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization. https://t.co/0wqXpSh8SL

3:20 PM · Mar 27, 2024

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