Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public.

Journal: Family medicine and community health
PMID: 38199604

Abstract

BACKGROUND: Artificial intelligence (AI) has rapidly permeated various sectors, including healthcare, highlighting its potential to facilitate mental health assessments. This study explores the underexplored domain of AI's role in evaluating prognosis and long-term outcomes in depressive disorders, offering insights into how AI large language models (LLMs) compare with human perspectives.

Authors

  • Zohar Elyoseph
    The Institute for Research and Development, The Artificial Third, Tel Aviv, Israel.
  • Inbar Levkovich
    Faculty of Education, Tel-Hai Academic College, Upper Galilee 2208, Israel.
  • Shiri Shinan-Altman
    The Louis and Gabi Weisfeld School of Social Work, Bar-Ilan University, Ramat Gan, Tel Aviv, Israel.

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