The provided sources investigate the complex intersection of artificial intelligence and modern healthcare, focusing on the tension between technological innovation and ethical safeguards. These texts highlight how AI can improve diagnostic accuracy and administrative efficiency while simultaneously threatening patient privacy and eroding clinical skills through overreliance. A primary concern across the documents is algorithmic bias, which can exacerbate health disparities for marginalized groups if training data is unrepresentative. To mitigate these risks, the authors advocate for robust regulatory frameworks, informed consent improvements, and proactive governance. Ultimately, the sources emphasize that while AI offers transformative potential for medical research and mental health, its deployment must prioritize human-centered care and accountability.

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