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Technologies relate to the operating systems that orchestrate mobile device hardware while maintaining confidentiality, integrity and availability are required to build trust. This may foster greater adoption of mHealth technologies and services, by exploiting lower cost multi purpose mobile devices such as tablets, PCs, and smartphones.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
A smart wearable system (SWS) is an end-to-end integrated and connected system that has the following features: one or more sensors and actuators nodes at the end-user side and possibly integrated into worn items; nodes connectivity to local and/or remote processor
In the healthcare sector, smart systems technology leads to better diagnostic tools, to better treatment and quality of life for patients by simultaneously reducing costs of public healthcare systems. Key developments in this sector are smart miniaturized devices and artificial organs like artificial pancreas or cochlear implants.
Embedded health systems integrate sensors and microprocessors in appliances, furniture, and clothing which collect data that is analyzed and can be used to diagnose diseases and recognize risk patterns. Private health networks implement wireless technology to connect portable devices and store data in a household health database.
Mobile Health (mHealth) is the use of mobile devices for better health care delivery. MHSL engages in various research initiatives to improve mHealth technologies and services. They develop personalized and efficient methods, devices and systems that can be used by anyone for health applications at the point-of-care.
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