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How Are Smart Wearable Devices Shaping the Future of Medicine?

13. 6. 2025

The integration of artificial intelligence (AI) into wearable medical devices and their incorporation into the Internet of Medical Things (IoMT) infrastructure is transforming healthcare. Current research suggests that AI-powered smart devices enable more accurate diagnostics, faster responses to acute conditions, reduced healthcare system burden, and improved treatment outcomes for patients with chronic diseases.

More Than Just Smartwatches

The development of wearable technologies combined with AI is significantly reshaping modern medicine. Wearable devices such as smartwatches, sensors, and continuous vital sign monitors now allow for early detection of certain illnesses, real-time patient monitoring, and the collection of clinically relevant data outside healthcare facilities.

The cornerstone of this shift is the concept of IoMT, which connects devices to cloud platforms and enables continuous data evaluation using advanced machine learning algorithms.

Real-Time Monitoring

The key benefits of these systems include predictive risk analysis, personalized treatment, and the possibility of early intervention. For example, wearable heart rate sensors equipped with AI algorithms can now detect arrhythmias with up to 99.84% accuracy and automatically alert healthcare providers.

These devices are also highly significant in neurology and diabetology, where systems are capable of monitoring EEG or blood glucose levels in real time. This allows for earlier diagnosis of disorders, timely interventions, and the prevention of severe complications.

From the perspective of healthcare providers, IoMT offers new opportunities for operational optimization, hospital workload reduction, and more efficient use of resources. Remote monitoring enables early detection of decompensation in chronically ill patients, helps reduce hospital admissions, and shortens hospital stays.

Keys to Successful Integration

Crucial factors for successful integration of new technologies include interoperability between devices from different manufacturers, security of transmitted data, and the establishment of a regulatory framework that matches the pace of technological advancement. Trust from both patients and healthcare professionals depends directly on robust data protection and the transparency of AI involvement in clinical decision-making.

Implementing IoMT also requires modernization of digital infrastructure in healthcare facilities, standardization of data collection and interpretation, and systematic training of medical staff. The success of this transformation lies not only in the technology itself but in its meaningful integration into clinical practice.

IoMT with AI elements is no longer just a technological innovation — it is becoming the foundation for a systemic shift in healthcare toward more personalized, accessible, and data-driven medicine. Particularly in the care of chronically ill, geriatric, and home-based patients, it shows promise in significantly improving quality of life, reducing healthcare costs, and enabling patients to take a more active role in their treatment process.

Editorial Team, Medscope.pro

Source:
Shams F. A., Senzuti S., Sweety A. K. et al. Transformative impacts of the internet of medical things on modern healthcare.
Results in Engineering 2025, doi: 10.1016/j.rineng.2024.103787.



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