AI's potential in medicine has already attracted large amounts of media and public attention. However, some of the specific uses and consequences of AI in the context of health care aren't particularly well known, at least not compared to awareness of the general utility of artificial intelligence.
Some of these uses may be life-saving, and in more ways than one. In recent months, a small number of companies and researchers have begun using AI for the purposes of medical imaging, harnessing machine learning algorithms in order to construct 3D models out of 2D images.
This may seem like a fairly standard employment of AI at first glance, but what's special about this emerging use is that it's focused on avoiding the need for MRI, CT and PET scans.
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In the case of CT and PET scans, this means that patients aren't subjected to abnormal levels of radiation, which with CT scans at least can result in an increased risk of cancer.
One company offering this kind of technology is Zebra Medical Vision. Based in Israel, its main product is an AI-based "Imaging Analytics Engine" which can analyze medical scans in various formats and identify a wide variety of diseases. This month, it announced a partnership with orthopaedic and neurosurgery firm DePuy Synthes, through which it would bring its AI-powered analytics technology to orthopedic images.
In particular, Zebra Medical Vision's machine learning algorithms will be used within this partnership to create 3D models of patients from X-ray images. By doing this, the company hopes to provide cost-effective surgical planning to hospitals and surgeons worldwide, helping them to avoid or at least cut down on MRI or CT scans. More Info