Artificial intelligence: the way forward

Thursday 16 August 2018

The Royal College of Radiologists (RCR) aims to ensure that artificial intelligence (AI) and machine learning developments translate into clinician support and patient benefit as swiftly and smoothly as possible. To realise this, we have assembled a group of clinical radiologists and clinical oncologists who hold expertise in AI.

We have prioritised four broad work streams of regulation, quality assurance, training and development, and engagement and partnership working. We are looking to engage with our Fellows and members as the work progresses, wherever the opportunity arises. Understanding your experiences of AI and machine learning at practice level is imperative for us to move things in the right direction for clinical utility.

We will be submitting a response to the TOPOL Review, which is seeking evidence on the current use of genomics, digital medicine and AI/machine learning across the NHS. To help inform our response, please complete a short poll so that we can reflect the views of our membership.

The RCR is working under general principles that AI adoption in the NHS should:

  • Work to common standards that facilitate universal applicability, including extant standards for clinical practice as set out by the College as well as other stakeholders including the National Institute for Health and Care Excellence (NICE)
  • Assure quality, safety and security of data used
  • Take account of current and emerging regulation by healthcare and digital economy regulators
  • Be clinically led so that effort is directed where it can most readily be used in practice to relieve hard-pressed NHS services
  • Achieve the widest possible use of digital data for the benefit of UK patients and the population as a whole.

To learn more, please see our AI position statement and lecture recordings from our stakeholder event held in May 2018. Look out for further opportunities to engage with the College's ongoing work on AI.