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The Wizardry of AI and Machine Learning in Cancer Imaging 2.0

July 22, 2021 - July 24, 2021

Thw wizardry of artificial intelligence 2.0

This 2021 meeting, organised jointly by the Champalimaud Foundation and the International Cancer Imaging Society, 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 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

To register click here.

Venue

Online

Organizer

ICIS
Website:
https://www.icimagingsociety.org.uk/