The Wizardry of Artificial Intelligence 2.0 - AI and Machine Learning in Cancer Imaging

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The Wizardry of AI and Machine Learning in Cancer Imaging

Online. 22nd to 24th July 2021


Following our highly successful event in 2019 attended by over 400 delegates from over 30 countries, our 2021 meeting aims to promote better understanding and application of AI and machine learning in cancer imaging; and provide a multidisciplinary forum for radiologists, technicians/ radiographers, scientists and industrial partners to discuss and interact. The meeting is organised jointly by the Champalimaud Foundation and the International Cancer Imaging Society. 

This meeting will highlight real-world translation in the development of infrastructure/ ecosystem/ data pipeline; as well as illustrative clinical use cases emerging from clinical needs. Controversies and advances in AI and machine learning approaches? will be presented and discussed. An industrial forum provides the opportunity to hear from scanner manufacturers, data science companies and health organisations to understand the development of tools for clinical benefit. The content will be delivered by a panel of invited international expert faculty. 

The cost to attend this three day meeting is £65. 12 CPD credits will be awarded according to the CPD scheme of the Royal College of Radiologists.  EACCME accreditation has been applied for. This is a commercial-free meeting, in line with the educational mission of the International Cancer Imaging Society and the Champalimaud Foundation. 

Who should participate?

Radiologists, technicians/ radiographers, scientists, industrial partners and all who are interest in the growth and development of AI and machine learning in cancer imaging. 

What are the learning objectives?

1) To understand the real world translation of how imaging departments can prepare for AI
2) To review key AI and machine techniques for cancer imaging
3) To learn advances and controversies in AI and machine learning
4) To understand the perspectives from industry and health policy makers
5) To learn from exemplars of clinical use cases and lessons learnt in their development

This will be a Virtual Meeting.

Date:  Thursday 22nd to Saturday 24th July 2021

Time: The programme commences each day at 12:30 BST.

Registration: £65 to attend all three days.

Official Language: English. No translation system available.

Organising Committee:

Celso Matos, Dow-Mu Koh, Fred Prior, Nickolas Papanikolaou, Andrea Rockall, Seong Ki Mun, Luis Martí-Bonmatí, Evis Sala

On behalf of the Champalimaud Foundation and the International Cancer Imaging Society, we would like to invite you to attend this special focus multidisciplinary meeting on the development and application of artificial intelligence (AI) and machine learning (ML) in Cancer Imaging.

AI and ML are set to have a deep impact on how radiologists, as well as clinicians, may work in the future. However, there has been limited opportunities for imagers, scientists, clinicians and industrial partners to interact, so as to understand clinical needs, to identify common goals and to prioritise developments.

This meeting will bring together specialists in oncology, cancer imaging, AI and ML, as well as industry members to present and discuss these issues. We welcome your participation in our program and look forward to seeing you online!

Celso Matos, Dow-Mu Koh and Fred Prior

On behalf of the organising committee*

There is a one off payment of £65 for the three day meeting.

Click the Registration tab below to register for the event.

ONLINE REGISTRATION

IMPORTANT INFORMATION

Reservations will only be confirmed on receipt of the fully completed booking form and full payment. A confirmation letter and further details will be issued on receipt of full payment.
Reservations are subject to availability and will be confirmed within one week from receipt of completed booking form and full payment.

Refunds (minus an administration charge of £70) will only be made if written notification is received by 20th June 2021. Thereafter no refunds will be made.

It is your responsibility to check connectivity of your IT system to ensure suitable bandwidth and internet speed to enable virtual participation; ICIS will not be liable for unstable internet connection degrading the experience of participating in the event. Bandwidth information can be checked using a quick speed test, e.g. https://fast.com

Please direct any questions to Louise Mustoe at admin@cancerimagingsociety.org.uk

 

UK Delegates

CPD points awarded by the Royal College of Radiologists – delegates will receive 12 credits in total for attendance on 22nd to 24th July.  

Day 1: 4.5 credits

Day 2: 4.5 credits

Day3: 3 credits

European Delegates

Accreditation from the European Accreditation Council for Continuing Medical Education (EACCME) will be applied for, and made available to all attendees of this course.

US Delegates

American delegates can have their EACCME European CME Credits converted to AMA PRA Category 1 Credit™ by applying to the AMA. Download the 1 page from here:- https://www.ama-assn.org/sites/default/files/media-browser/public/cme/eaccme-application.pdf

Send the completed  form to the AMA together with the EACCME certificate* and the non-refundable processing fee (AMA members $30 and non AMA members $75).  AMA certificates will be emailed within 3 business weeks. 

Please visit this link for further information https://www.ama-assn.org/education/uemseaccme-cme-credit-recognition