Understanding AI bias is essential in ensuring accurate operation of machine learning models.
With no shortage of AI news, we’re back with our next round-up of weird and wonderful stories from the world of artificial intelligence and machine learning.
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.
We’ve been keeping an eye on the latest AI news, science and technology developments, and we’re back with the third edition of ‘On our radar’. From health-boosting playlists to stealing cars in L.A., these stories piqued our interest.
Radiology AI can support, enhance and corroborate the work of skilled radiologists, but how do you decide which software is right for your department?
Like many other specialities in the field of medicine, cardiology is becoming increasingly digitalised. Consequently, it is also enjoying many of the benefits that AI can bring to the discipline.
We’ve been keeping an eye on the latest AI news, science and technology developments, and we’re back with our second round-up. From EU regulations and sarcasm detection, to AI outperforming humans when detecting small bone fractures, here’s what’s on our team’s radar.
Here at Zegami, we always try to stay up to speed with the latest news, science and technology developments. Whether it’s innovations in machine learning, interesting applications of AI, or breakthroughs in healthcare digitalisation, our team’s on the lookout.
Technological developments in the field of digital pathology have made it easier to store, view and organise medical images. It’s also easier to engage and collaborate with other professionals, as well as quickly seek second opinions from other clinicians.
Hear from our Chief Scientific Officer, Steve Taylor, as he talks at the Medical Imaging Convention Virtual event about the use of artificial intelligence and medical imaging to understand disease.
Explainable AI (XAI), is essential in allowing us to understand, communicate and adapt how machine learning models reach their decisions. Part two of our blog explores some of the benefits of XAI and how it can be used by, and benefit, healthcare professionals.