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Artificial Intelligence in Healthcare: Assessing Impacts, Challenges, and Recommendations for Achieving Healthcare Independence

Artificial Intelligence in Healthcare: Assessing Impacts, Challenges, and Recommendations for Achieving Healthcare Independence
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Author(s): C. V. Suresh Babu (Hindustan Institute of Technology and Science, India), N. S. Akshayah (Hindustan Institute of Technology and Science, India)and P. Maclin Vinola (Hindustan Institute of Technology and Science, India)
Copyright: 2024
Pages: 20
Source title: Perspectives on Artificial Intelligence in Times of Turbulence: Theoretical Background to Applications
Source Author(s)/Editor(s): Nuno Geada (ISCTE, University Institute of Lisboa, Portugal)and George Leal Jamil (Informações em Rede C e T Ltda., Brazil)
DOI: 10.4018/978-1-6684-9814-9.ch005

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Abstract

This chapter critically examines the claim that “healthcare independence relies on total dependence on artificial intelligence” in the context of the integration of AI in healthcare. It explores the role of AI in improving diagnostic accuracy, treatment planning, and operational efficiency. However, it also acknowledges the limitations and ethical considerations associated with AI, such as algorithmic biases and patient privacy concerns. The chapter emphasizes the importance of maintaining a patient-centric approach and preserving the human element in healthcare, with AI serving as a supportive tool rather than a replacement for human expertise. Interdisciplinary collaboration is highlighted as crucial in fully harnessing AI's potential in healthcare. Overall, the chapter provides a nuanced perspective on the transformative potential of AI in achieving healthcare independence while acknowledging the need for responsible and ethical AI implementation.

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