The Rise of AI in Healthcare Engineering: Opportunities and Ethical Challenges
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Abstract
Artificial Intelligence (AI) is rapidly transforming healthcare engineering by introducing advanced tools for diagnosis, patient care, and system optimization. This paper examines the ongoing shift toward AI-integrated healthcare systems, highlighting major innovations such as intelligent diagnostic models, smart monitoring devices, and AI-assisted treatment planning. While the technology holds immense promise, it also introduces a range of ethical concerns—including data privacy, decision-making transparency, and potential biases in machine learning algorithms. This study provides a comprehensive overview of both the potential and pitfalls of AI in healthcare, emphasizing the importance of ethical governance and responsible implementation as these systems continue to evolve. The goal is to encourage a balanced approach that leverages AI’s strengths while safeguarding patient trust and safety.