Grand challenges in artificial intelligence in clinical radiology and clinical oncology
The noise surrounding artificial intelligence (AI) in healthcare is growing. Politicians and industry are increasingly heard extolling the potential of AI and machine learning to improve medical diagnoses via tireless data interpretation, as well as to improve the efficiency and financial situation of the NHS.
AI has clear applications in the medical specialties of clinical radiology and clinical oncology. Both disciplines depend on the assessment and cross-referencing of multiple data variables from medical images to diagnose conditions and plan cancer treatment.
Perceiving how integral AI will be to future healthcare advances in the UK, The Royal College of Radiologists (RCR) hosted a stakeholder event to debate the key issues surrounding its development and implementation, particularly with reference to the College’s two medical specialty areas of clinical radiology and clinical oncology.
The Grand challenges in artificial intelligence in clinical radiology and clinical oncology event took place at The Wellcome Collection in London on 16 May 2018.
The symposium was conceived by the RCR in partnership with The Alan Turing Institute, Health Data Research UK (HDR UK) and the Engineering and Physical Sciences Research Council.
The event was opened by Dr Nicola Strickland, President of The Royal College of Radiologists, who welcomed over 100 invited delegates – ranging from radiologists and clinical oncologists to computer scientists, industry experts and funding leaders – to a packed programme designed to explore the major challenges around training and regulation of innovative AI, and to introduce a selection of projects already being trialled in UK universities and hospitals.
Recordings of the lectures are available to view online: