The convergence of Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) is shaping a new digital health ecosystem, more connected, predictive, and personalized.
What is the Internet of Medical Things (IoMT)?
IoMT refers to a network of smart medical devices, from wearables to biomedical sensors, that collect and monitor health data in real time to support diagnostics and therapeutic decisions.
Through wearable devices, biomedical sensors, and integrated platforms, healthcare providers can now access a growing volume of real-time patient data. But it’s AI that turns this data into actionable insights: machine learning and deep learning models analyze vital signs, detect clinical patterns, support physicians in diagnosis, and predict critical events.
What are the practical applications of IoMT and AI for doctors and patients?
Designing these intelligent systems requires an end-to-end approach: from edge computing to visualization dashboards, cloud infrastructure, and communication protocols. Scalability, modularity, and regulatory compliance are essential.
The article also explores the most relevant regulations: GDPR, the Medical Device Regulation (MDR), the upcoming AI Act, and the Cyber Resilience Act, all emphasizing the importance of security-by-design and traceability for safe and reliable AI-powered medical devices.
The result is a new generation of intelligent medical devices that adapt to the needs of both patients and healthcare professionals, maximizing the value of clinical data at every step of the care pathway.
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