Back to Top
Focusing on how new innovative AI and ML technologies are being used currently by healthcare organisations, and how they will next provide a pathway to powerful and disruptive new innovation capabilities.
NHS IT infrastructure is “not fit for AI” and a “large push” towards standardisation is required if the benefits of the technology are to be realised, a new report has concluded.
For healthcare professionals in the community, the benefits of going paperless don’t just lie in improving efficiency argues Ian Bailey, clinical lead at EMIS Health and a former district nurse. The easily-accessible data generated has enormous value too – but only if we can give staff confidence in using it.
Health minister Lord O’Shaughnessy told the Health and Care Innovation Expo the code’s principles were intended to create “a safe and trusted environment in which innovation can flourish”.
Simon Stevens also said artificial intelligence will play a larger rols in the NHS, singling out DeepMind’s recent research with Moorfields Eye Hospital.
Sensyne applies AI algorithms to anonymised data to find potential clinical solutions which can be later sold to pharmaceutical companies.
Researchers have claimed the system is able to identify 10 features of eye diseases from optical coherence tomography (OCT) scans.
