AI-driven remote patient monitoring (RPM) devices are transforming healthcare by enabling continuous, personalized care, reducing hospitalizations, and supporting aging populations. Adoption is rising, with 40% of the US expected to use RPM by 2030. Integration with AI enhances prediction, telemedicine, and personalized health plans, while examples like TytoCare and CarePredict show practical applications. Benefits span patients, providers, and payers, yet challenges remain around data privacy, bias, interoperability, adherence, and reimbursement. Policies differ globally, with the US, Germany, UK, and Japan offering varying reimbursement models. Ethical use and robust validation will be critical for scaling responsibly.

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