The health care sector has been one of the fastest supporters and users of AI technologies, where its application is literally life-changing. It has been predicted that Medical AI will be a $ 200 billion industry by 2025 and it’s easy to see why. There has been an exponential increase in the amount of medical data being produced over the past few decades with estimation of accessible health-related data to be over 40 zettabytes (40 trillion gigabytes!). It’s obviously just not possible for any human practitioner to keep with this increase in data.
We are already seeing AI solutions being used in a variety of ways, including AI assisted medical robots, AI interactive apps and most notably using AI platforms to help diagnose illnesses based on medical images, such as CT scans, X-rays and MRIs. This field, in particular, has made tremendous strides in the past few years and, in fact, AI platforms are now able to more accurately diagnose a wide range of cases based on medical images than their human counterparts. Although implementing AI solutions in healthcare is a fairly new trend, it’s already becoming clear that this is an exciting area that may be hugely beneficial in terms of saving lives.