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

LLMs in CAP hold promise not only as cognitive aids but also as emotionally attuned, context-sensitive companions in ethical decision-making processes. Their effectiveness depends not just on algorithmic precision but also on explainability, empathy, and cultural alignment. Rather than replacing clinician judgment, LLMs may serve to ease emotional burden, enhance therapeutic reflection, and foster ethically sound care in complex, high-pressure situations.

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Publication Details

Journal
BMC Medical Ethics
Published
2025-12-30
DOI
https://doi.org/10.1186/s12910-025-01323-0
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

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

Arif Hüdai Köken, Sarper İçen
1 citations
BMC Medical Ethics
Artificial Intelligence in Healthcare and Education
0.65
article

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

Arif Hüdai Köken, Sarper İçen
article en
1 citations

Abstract

LLMs in CAP hold promise not only as cognitive aids but also as emotionally attuned, context-sensitive companions in ethical decision-making processes. Their effectiveness depends not just on algorithmic precision but also on explainability, empathy, and cultural alignment. Rather than replacing clinician judgment, LLMs may serve to ease emotional burden, enhance therapeutic reflection, and foster ethically sound care in complex, high-pressure situations.

BMC Medical EthicsVol. 26(1)
Ahi Evran University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
0.65
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