Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, and societal challenges. Key concerns include data privacy risks, algorithmic bias, and regulat...

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Veröffentlicht in:	Journal of clinical medicine Jg. 14; H. 5; S. 1605
Hauptverfasser:	Goktas, Polat, Grzybowski, Andrzej
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.03.2025 MDPI
Schlagworte:	Accountability Algorithms Artificial intelligence Automation Bias Collaboration Decision making Diagnostics Ethical aspects False information Generative artificial intelligence Health aspects Health care Health disparities Health literacy Interdisciplinary aspects Low income groups Management Medical care Medical innovations Medical personnel Medical records Neural networks Patient safety Poland Privacy Professional ethics Technology application Transparency Trust Poland health policy natural language processing regulation bias privacy ethics large language model machine learning artificial intelligence
ISSN:	2077-0383, 2077-0383
Online-Zugang:	Volltext
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