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The healthcare industry has already been using AI/ML in diverse situations. The impact of these tools in healthcare are bolstered due to their highly suitable applications. From AI-assisted robotic surgery, to image analysis, the use of AI/ML technologies have allowed healthcare systems to apply big data tools for data analytics.

Medical device manufacturers are using these technologies to innovate their products to better assist healthcare providers and improve patient care. One of the greatest benefits of AI/ML in software resides in its ability to learn from real-world use and experience, and its capability to improve its performance.

A plethora of available healthcare data and the increasing big data analytics have made the medical device industry more AI/ML-permeable. As with the medical industry, their integration into other business areas contributes to strengthening and advancing technology throughout time.

In this whitepaper, we will discuss the following topics:

  • AI subsets
  • Medical specialties where AI/ML is employed
  • Software classification – IMDRF and EC
  • Good machine learning practices
  • And more

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