As demand for radiology services continues to increase, the key to providing fast, accurate patient diagnoses lies with the digitisation of radiology.
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.
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.
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.
In a world that relies heavily on information technology, the importance of AI that we can understand, interpret and trust is becoming a necessity. In the first of our two-part blog series, we explore the evolution of AI and the increasing need for explainable AI.