Artificial intelligence in 2019: where are we now?

When: 
Friday 22 March 2019
Venue address: 
Etc.venues County Hall, Riverside Building, Belvedere Rd, London, SE1 7PB
CPD credits: 
5

This is a joint event with the British Institute of Radiology. This one-day event will provide an update on where we are with regards to artificial intelligence in the field of radiology. It will provide specific insights into the current and future applications of AI including deep learning in radiology, machine learning and computer-aided diagnosis with appropriate clinical applications.

Educational aims:

  • To learn the fundamentals of imaging informatics and its clinical utility
  • To understand the latest technologies available for diagnosis using artificial intelligence techniques
  • To explore the implications of imaging informatics on the future of radiology

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Programme

Friday 22 March 2019

 

TimeLecture title Speaker

09:00

Registration and refreshments

09:30

Welcome and introduction

09:35

AI in radiology: the main worries 
           

Dr Nicola Strickland, President of Royal College of Radiologists and Consultant Radiologist, Imperial College Healthcare NHS Trust

10:05 

AI in radiology: where we are now and a glance ahead 

Dr Hugh Harvey, Clinical Director, Kheiron Medical

10:35

AI for interpreting radiologicial images: how should we regulate new products coming onto the market? 
            

Dr Derek Hill, President, Panoramic Digital Health, France 

11:05

Refreshments

11:35

Applying AI to build clinical models 

Dr Kristen Yeom, Associate Professor of Radiology, Stanford University, California

12:05Proffered paper – Prediction of risk of interval breast cancer using deep learning
 
Ms Lucy Warren, Clinical Scientist, Royal Surrey County Hospital NHS Foundation Trust
12:20Proffered paper – Radiomics and machine learning in glioblastoma: Predicting treatment response
 
Dr Markand Patel, Specialty Registrar in Radiology, University Hospitals
Birmingham NHS Foundation Trust
12:35Proffered paper – Developing a machine learning model for the rule out of paediatric pneumonia on chest radiographs
 
Dr Louise Yates, Foundation Year 2 Doctor, University Hospitals Birmingham NHS Foundation Trust; Dr Elliot Yates, Core Anaesthetics
Trainee, Dudley Group NHS Foundation Trust
12:50Proffered paper – Automatic detection of unexpected and abnormal findings in head MRI Exams using residual convolutional neural networks
 
Dr Sotirios Bisdas, Consultant Associate Professor of Neuroradiology, University College London Hospital
13:05Proffered paper – Artificial intelligence in radiology: An assessment of
trainee perceptions and understanding
Dr Uzoma Nnajiuba, Specialty Registrar in Radiology, Arrowe Park Hospital

13:20

Lunch

14:20

AI in medicine: where is the humanity? 

Dr Navin Ramachandran, Consultant Radiologists, University College London Hospital

14:50

How can AI benefit digital pathology? The low hanging fruit

Professor Paul van Diest, Department of Pathology, Utrecht, Netherlands 

15:20

Refreshments

15:50

Using AI to support adoption of functional MRI into clinical practice

Dr Christina Messiou, The Royal Marsden and Institute of Cancer Research 

16:20

Panel discussion

Dr Nicola Strickland, Dr Hugh Harvey and Dr Christina Messiou

17:15

Close of event

 

Full event flier

Contact us

For any queries relating to this event please contact

Professional Learning and Development
The Royal College of Radiologists
63 Lincoln's Inn Fields
London
WC2A 3JW

email: conf@rcr.ac.uk

Tel: 020 7406 5942

Bookings

To book this event please visit The BIR website, where all registrations can be made online for both RCR and BIR members. 

Booking fees are as below: 

Registration Fees
BIR or RCR Non-member £295
BIR Plan 1 or RCR Consultant member £185
BIR Plan 2 member £125
BIR or RCR Trainee member £85
BIR or RCR Retired member £65
BIR Student member £65

Venue
ect. Venues
Riverside Building
Belvedere Rd
London
SE1 7PB

United Kingdom

https://www.etcvenues.co.uk/venues/countyhall