Artificial Intelligence software for stroke radiology

Organised by: Professor Phil White, Newcastle University and Dr Grant Mair, University of Edinburgh 

A series of three online sessions being delivered jointly by the RCR and UKNG. Part 1 and part 2 will run in September. Part 3 will run during RCR Learning Live 2021 in October.

All sessions are free to attend.

Learning Outcomes:
Update radiologist on these tools, review evidence for their efficacy and highlight key points especially to appreciate their benefits and also limitations.

Webinar: Part 1: Artificial intelligence (AI) software for stroke radiology

Thursday 16 September 2021, 17:30-18:30 BST

Led by Professor Phil White and Dr Grant Mair, part 1 will include:

  • AI definitions
  • What radiologist needs to know/reasons to engage
  • Areas where AI might be used in medical imaging
  • Backdrop to use in Stroke pathways/NHSEI procurement
  • Development reprise: AI tools and use in stroke care
  • Q and A

The recording of this webinar is now available.

Webinar: Part 2: Artificial intelligence software for stroke radiology

Thursday 23 September 2021, 17:30-18:30 (BST)

Led by Professor Phil White and Dr Grant Mair, part 2 will include:

  • Knowledge Gaps/issues arising
  • Ethics & legislation around AI    
  • Clinical testing, including RITES
  • Tips & Tricks around AI in stroke
  • Stroke Physician perspectives
  • INR perspective
  • Q and A

The recording of this webinar will be available shortly.

RCR Learning Live session: Part 3: Use of radiology artificial intelligence decision support tools in stroke, an industry collaboration 

Wednesday 20 October, 18:00 - 20:00 (BST)

Chairs: Professor Phil White and Dr Grant Mair

This session will be held during RCR Learning Live 2021, and will include:

  • Individual AI packages presented by companies reps 
  • Individual AI package case examples 
  • Round table Q&A 

Bookings can be made via the RCR Learning Live platform.

CPD Credits

  • Part 1: 1 credit
  • Part 2: 1 credit
  • Part 3: 2 credits

Fees

All sessions are free to attend.