When it comes to AI in healthcare, data bias can lead to significant, albeit unintentional, consequences. We’ve put together these 6 tips to help you better understand AI bias.
Understanding AI bias is essential in ensuring accurate operation of machine learning models.
As demand for radiology services continues to increase, the key to providing fast, accurate patient diagnoses lies with the digitisation of radiology.
Our customers work with a variety of images stored in various formats. To make it as seamless as possible for you to import your visual data, we we’ve extended our platform to provide built-in support for not only the most common image formats, but a wide range of others.
Radiology AI can support, enhance and corroborate the work of skilled radiologists, but how do you decide which software is right for your department?