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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Vydáno v:	Journal of clinical medicine Ročník 14; číslo 5; s. 1605
Hlavní autoři:	Goktas, Polat, Grzybowski, Andrzej
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.03.2025 MDPI
Témata:	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
On-line přístup:	Získat plný text
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