Ge Healthcare Limited

AI tools have shown promise in being able to analyse medical imaging and aid healthcare professionals with their image interpretation speed and accuracy. However, the uptake of these algorithms by healthcare organisations has been slow for several reasons including: ● Lack of independent clinical testing about the accuracy of the algorithms. ● Lack of tra...

The rise of artificial intelligence (AI) has given us unprecedented opportunities to analyse big data sets and to derive insights from them. One such area is healthcare; the UK NHS have internationally unique quantity and quality of patient data by way of digital medical records. The retrospective analysis of those records in specific clinical settings gi...

"The diagnosis of cancer and other diseases often uses imaging tests (CT, MRI, x-ray, ultrasound) as part of the pathway of investigation. In the NHS, the number of imaging tests which need to be performed, outstrips the ability of the healthcare services to provide and/or interpret these tests. This can lead to delays in diagnosis and delays to subsequen...