Investigating Generative Artificial Intelligence Readiness in the Internet of Medical Things

Abstract

Generative Artificial Intelligence (AI) is reshaping the Internet of Medical Things (IoMT), driving innovations in healthcare diagnostics, personalized treatment, and patient monitoring. This integration promises to enhance medical decision-making, optimize resource allocation, and improve patient outcomes. However, despite technological advancements, challenges persist, including data privacy concerns, regulatory hurdles, and the need for robust ethical frameworks. The progress is evident in AI-driven tools, such as predictive analytics and virtual health assistants, yet their widespread adoption is hindered by interoperability issues and uneven technological infrastructure. As generative AI continues to evolve, addressing these barriers is crucial for realizing its full potential in transforming the IoMT landscape, ensuring that technological advancements translate into sustainable and equitable healthcare progress.

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