Large-language models (LLMs) are rapidly becoming part of human culture, reshaping how information is produced, transmitted, and used. Here we propose that their diffusion can be understood through a…

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The widespread adoption of Large Language Models (LLMs) is increasingly shaping clinical decision-making by altering how physicians engage with data and reasoning. While these tools enhance diagnostic capacity, streamline workflows, and support learning, it misuse may diminish critical, contextual, and humanized thinking, reducing physicians to passive validators of algorithmic outputs. This article explores the evolution of medical cognition and proposes strategies for integrating AI in ways that preserve cognitive autonomy, such as structuring information, reducing bias, and strengthening metacognition. We argue that AI should serve as a "cognitive stethoscope", a tool that refines reasoning without compromising its essence.

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If you think telepathy or mind control is the stuff of science fiction, think again. Advances in artificial intelligence are leading to medical breakthroughs...

It may be the one that quietly decides how humans interpret reality before they even realize it.