Скачать или смотреть Practical challenges of deploying AI on the NHS Frontline

Across the previous two events in our series looking into the application of Artificial Intelligence in the NHS experts in the field have shared examples of successful implementation and the distance still to travel. Of course it's encouraging to talk about such systems as if they are everyday common place however, the reality is far from that. Challenges persist in their introduction and many can be traced back to behaviours in maintain organizational data, the commissioning process; engagement and expectation management.

Overcoming these barriers and arming you with the information to make informed choice on AI systems is the topic of our next event in the AI series 'practical challenges faced in implementing artificial intelligence technologies on the NHS frontline'. This event is open to professionals in healthcare and beyond and to those with an academic or personal interest in medical technology and artificial intelligence in medicine.

About our event chair

Haris Shuaib (haris_shuaib) is Consultant Physicist and Head of Clinical Scientific Computing at Guy's and St Thomas' NHS Foundation Trust; AI Transformation Lead for Artificial Intelligence Centre for Value Based Healthcare.

About our speakers

Danny Ruta (Danny Ruta) is the AI Clinical Lead at the Guy’s Cancer Centre and chaired our second event in our AI series. Danny has formerly held posts as Director of Public health for the London Borough of Lewisham and the City of Newcastle, and as Senior Lecturer in Epidemiology and Health Services Research at Newcastle University and Dundee University.

Anna Barnes (DrABarnesFIPEM ) is Director of The King's Technology Evaluation Centre (KiTEC). Up until June this year Anna was lead Clinical Scientist at University College Hospitals London (UCLH) tasked to introduce the novel combined PET and MRI scanner in the newly built Macmillan Cancer Centre. Over Anna's twenty years career as a Clinical Scientist she has held positions at Glasgow Institute of Neurology and New York University PET imaging Centre; GE Healthcare radiopharmaceutical development team; Columbia University fMRI psychology lab and at the University of Cambridge Brain Mapping Unit.

Michael Nix (drmikenix) is an AI researcher and clinical scientist in adaptive radiotherapy. He holds a joint fellowship with Health Education England and NHSx investigating appropriate confidence levels and ethical implications for the implementation use of AI in the clinic. He is particularly interested in uncertainty and risk quantification for robust and safe clinical decision making, particularly the skills gaps and educational needs of the UK healthcare workforce in this area.

Dr. Neelan Das
(neelandas) is a Senior Consultant Cardiovascular and Interventional Radiologist at Kent and Canterbury Hospital. He is leading on the implementation of artificial intelligence tools within the division of imaging at East Kent Hospitals Foundation Trust and has published on the ethics of AI in radiology. Neelan also leads on research and is the local principle investigator in several cutting edge trials utilising Interventional radiology techniques, medical imaging and advanced technology.