2. Artificial intelligence and machine learning 2. Artificial intelligence and machine learning

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nurmohammadkhan
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2. Artificial intelligence and machine learning 2. Artificial intelligence and machine learning

Post by nurmohammadkhan »

1. Software as a medical device
The term software as a medical device refers to software intended to be used for one or more medical purposes that is not part of a hardware medical device.

Medical device manufacturers are using artificial intelligence and machine argentina whatsapp resource learning technologies to innovate their products. Tools that incorporate these technologies have the potential to profoundly transform healthcare, as they can extract truly useful and meaningful insights from the mass of data generated every day during the delivery of services.

3. Cybersecurity
With the advent of digital transformation in healthcare , medical devices are increasingly connected to the Internet, hospital networks, and other medical devices. As connectivity and interactivity increase, so do potential cybersecurity risks. This is because medical devices, like other IT systems, can be vulnerable to breaches and violations .

Cybersecurity in healthcare involves protecting information and electronic resources from unauthorized access, use, and disclosure. There are essentially three objectives of cybersecurity: protecting the confidentiality , integrity , and availability of information . The healthcare environment is complex, making it very difficult to completely eliminate threats to the security and privacy of healthcare and clinical information. Collaboration between manufacturers, hospitals, and facilities becomes essential to implement effective solutions to manage and reduce potential risks.
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