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SiftIQ: Unraveling the Ethical Dilemma of AI in Healthcare
0
Zitationen
3
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) is revolutionizing medicine, yet whether it is trustworthy remains an open question. Hidden beneath its complex algorithms are biases, unexplained decisions, and unpredictable risks that can mean the difference between life-saving treatments and harmful misdiagnoses. This paper outlines a systematic evaluation framework that puts healthcare AI in the dock—trialing bias, explainability, and reliability through targeted prompts and a risk matrix. By uncovering vulnerabilities and offering a clear path forward for improvement, our approach exceeds blind trust in AI, rendering these systems not only powerful but also fair, transparent, and truly safe for the patients who rely on them.
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