Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye.

ABSTRACT:

Background

Ethical decision-making in child and adolescent psychiatry (CAP) is inherently complex, shaped by developmental vulnerability, evolving autonomy, and competing responsibilities to patients, families, and the legal system. Clinicians often face moral dilemmas when navigating adolescent confidentiality, parental authority, and mandatory reporting duties, especially in high-stakes or culturally sensitive contexts. As large language models (LLMs) enter clinical settings, their potential to support ethical reasoning remains underexplored, particularly outside Western paradigms. This study qualitatively investigates how different LLMs provide ethical, legal, and emotional guidance to clinicians facing ethically challenging scenarios in CAP, situated within Turkiye's sociocultu

SUBMITTER: Icen S 

PROVIDER: S-EPMC12754976 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature