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Stream 4: Implementation in practice

Hear from the latest pioneers in implementation AI within the NHS, showcasing successes alongside highlighting the challenges that have been overcome, and those that still remain!

Leads - Professor Owen J Arthurs and Dr James Wang

Session 1: Upskilling the workforce
Adapting the workforce to AI

Learning outcomes:

  • Pathways to AI working for individual and workforce 
  • Training the workforce to understand both the abstract and technical benefits and challenges of AI tools

Chair:  Dr. Raj Jena, Academic Clinical Oncologist, University of Cambridge, UK

Time

Talk Title

Speaker

09:45

Welcome

Dr. Raj Jena, University of Cambridge, UK

09:50

Pathways to AI working

To be announced

10:10

"How I did it - my career in 3 minutes"

To be announced

10:30

To be announced

To be announced

10:50

To be announced

  To be announced

11:15

Close

 

Programme subject to change

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Speakers

Dr Raj Jena

Academic Clinical Oncologist
University of Cambridge, UK
Dr Raj Jena
  • Dr Raj Jena

    Dr Jena is an academic clinical oncologist at the University of Cambridge Department of Oncology, and leads a data science and machine learning team as part of the Cancer Research UK funded RadNet Cambridge radiation research programme.

    He has an extensive history of computational modelling and image processing, including 5 years working as a clinical consultant at Microsoft Research Cambridge. He has experience developing open source AI solutions to medical device standards in a hospital setting and is chief investigator of the Hamlet.rt study, a multicentre AI study in radiotherapy toxicity recruiting at 13 centres across the UK.

    Dr Jena is also director of the NIHR Oncology Translational Research Collaboration (O-TRC), leading research collaborations across the biomedical research centres which have a cancer theme.

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