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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.
Mobile devices continue to increase in popularity each year. The addition of mobile devices serving as medical devices increases the chances for an attacker to gain unauthorized information. [9] In 2015 the Medical Access and CHIP Reauthorization Act (MACRA) was passed, pushing towards electronic health records. In the article "Health ...
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.
An example of an application of informatics in medicine is bioimage informatics.. Dutch former professor of medical informatics Jan van Bemmel has described medical informatics as the theoretical and practical aspects of information processing and communication based on knowledge and experience derived from processes in medicine and health care.
The data are transmitted to healthcare providers or third parties via wireless telecommunication devices. The data are evaluated for potential problems by a healthcare professional or via a clinical decision support algorithm, and patient, caregivers, and health providers are immediately alerted if a problem is detected. [4]
The 2360–2390 MHz frequency range is available on a secondary basis. The FCC will expand the existing Medical Device Radiocommunication (MedRadio) Service in Part 95 of its rules. MBAN devices using the band will operate under a 'license-by-rule' basis which eliminates the need to apply for individual transmitter licenses.