Artificial intelligence in 2020

When: 
Thursday 23 January 2020 to Friday 24 January 2020
Venue address: 
Cavendish Conference Centre, 22 Duchess Mews, LONDON, W1G 9DT
CPD credits: 
12

This is a joint event with the British Institute of Radiology. 

After the success of the last two Artificial intelligence events in 2018 and 2019, jointly organised by The British Institute of Radiology and The Royal College of Radiologists, we are back again in 2020. This time it will be even bigger and better with a new format!

This year’s event will be held across two-days with sessions appealing to our multidisciplinary audience.

Day one will cover talks on AI from a global perspective and the progressive research being undertaken across continents. This will be followed by a session on AI in oncology in the afternoon, with eminent speakers in this field led by Royal Marsden Hospital. 

Day two will cover clinical research-based talks interspersed with talks from the industry where representatives will discuss their pioneering work to aid the healthcare industry with cutting-edge technology. 

Throughout the two-days, there will be proffered oral presentations showcasing research being undertaken currently across various hospitals in the country.

We invite all radiologists (consultants and trainees), radiographers, physicists, oncologists as well as other healthcare professionals and those with an interest in AI to join us at this exciting event.

Meeting organisers:

Dr Hugh Harvey, RCR Radiology Informatics Committee
Dr Christina Messiou, Royal Marsden Hospital
Dr Nicola Strickland, Imperial College Healthcare NHS Trust 
Dr Sri Redla, Honorary Secretary, British Institute of Radiology

Horizontal Tabs

Programme - Day 1

Global perspective and AI in oncology
Thursday 23 January 2020

Timings

Lecture title

Speaker

09:00

Registration and refreshments

09:20

Welcome and introduction

09:30

Artificial intelligence (AI) in radiology: UK’s perspective

Dr Nicola Strickland, Consultant Radiologist, Imperial College Healthcare NHS Trust

10:00

AI in radiology – present and future: China’s perspective

Professor Zheng Yu Jin, President of the Chinese Society of Radiology and Professor of Radiology, Beijing Union Medical College Hospital

10:30

AI in radiology: India/Israel perspective

Dr Raju Kalidindi, CEO and Medical Director, Apollo Radiology International, Hyderabad; Eyal Gura, CoFounder and Chairman, Zebra Medical Vision

11:00

AI in radiology: Mexico’s perspective

TBC

11:30

Coffee

12:00

AI in radiology – Approaches to AI Challenges in Medical Imaging : USA’s perspective

Professor Daniel Rubin, Professor of Biomedical Data Science, Radiology, and Medicine; Ophthalmology Director of Biomedical Informatics, Stanford University

12:30

Proffered paper session

13:15

Lunch

14:15

Attitudes and perceptions of AI and machine learning in cancer imaging: Findings of an international survey

Professor Dow Mu Koh, Consultant Radiologist in Functional Imaging, Royal Marsden and Institute of Cancer Research

14:45

Harnessing the power of AI to improve outcomes for patients with cancer

Dr Christina Messiou, Consultant Radiologist, Royal Marsden and Institute of Cancer Research

15:15

Tea

15:45

Radiomics simplified: False discovery or genuine insight?

Dr Nickolas Papanikolaou, Group Leader, Champalimaud Foundation

16:15

Using imaging data for machine learning. An expert perspective on data requirements

Dr Ben Glocker, Senior Lecturer in Machine Learning for Imaging, Imperial College Healthcare NHS Trust

16:45

Panel discussion

17:15

End of day 1

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

Programme - Day 2

Clinical research and industry perspective
Friday 24 January 2020

Time

Lecture title

Speaker

08:30

Registration and refreshments

08:50

Welcome and introduction

09:00

AI in breast screening in the NHS

Dr Hugh Harvey, RCR Radiology Informatics Committee

09:30

The iCAIRD project – screening mammography and AI in the Scottish Breast Screening System

Dr Gerald Lip, Clinical Director, North East Scotland Breast Screening Programme Consultant Radiologist, Aberdeen Royal Infirmary

10:00

AI in ultrasound

Dr Phillip Wardle, Director, National Imaging Academy Wales; Consultant Radiologist, Cwm Taf University Health Board

10:30

Coffee

11:00

Industry talk – Aidence

TBC

11:20

Industry talk – Smart reporting

TBC

11:40

Industry talk

TBC

12:00

Proffered paper session

12:45

Lunch

13:45

What can we do to enable scalable, routine access to large volumes of imaging data to support the training of AI for use in clinical care?

Dr Emily Jefferson, Director of Health Informatics Centre and Senior Research Fellow School of Medicine, University of Dundee

14:30

Practicalities of using AI for vertebral fracture detection in the NHS setting

Dr Kassim Javaid, Consultant in Metabolic Medicine, Oxford University Hospitals NHS Foundation Trust

15:00

Tea

15:30

Industry talk

TBC

15:50

Industry talk

TBC

16:10

Industry talk

TBC

16:30

Panel discussion

17:00

Close of event

Booking

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: 

1 DAY

BIR Member Plan 1/RCR Consultant £185
BIR Member Plan 2 £125
BIR/RCR Trainee member £125
BIR/RCR Retired £65
BIR Student member £65
BIR/RCR Non member £295

2 DAYS/FULL EVENT

BIR Member Plan 1/RCR Consultant £295
BIR Member Plan 2 £220
BIR/RCR Trainee member £220
BIR/RCR Retired £110
BIR Student member £110
BIR/RCR Non member £450

Call for abstracts

Call for abstracts

We are looking for abstracts for proffered paper oral presentations relating to research in AI including medical imaging and radiotherapy. Radiologists (consultant and trainees), radiographers and physicists are all welcome to submit abstracts for their research

If you are successful, we will invite you to carry out a 15 minutes presentation of your research at this event (12+3 minutes for discussion). 

Abstracts should be submitted by midnight of Friday 18 October 2019 (maximum 250 words) here: https://www.bir.org.uk/education-and-events/call-for-abstracts/

Venue

Venue information

Cavendish Conference Centre

22 Duchess Mews
LONDON
W1G 9DT
United Kingdom