Events / Education
AI and Machine Learning in Cancer Imaging 3.0
Fri 30 Jun 2023 Sat 01 Jul 2023 Society
Champalimaud Foundation, Lisbon, Portugal
Relevant Documents
ProgrammeAI and Machine Learning in Cancer Imaging 3.0
Enhancing Healthcare through AI
30th June & 1st July 2023
In collaboration with the Champalimaud Foundation, Lisbon
Following our highly successful event in 2019 attended by over 400 delegates from over 30 countries, our 2023 in-person 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 industry partners to discuss and interact. The meeting is organised jointly by the Champalimaud Foundation and the International Cancer Imaging Society.
This meeting will continue to 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 meeting will also feature presentations from the EU-funded ProCancer-I and EuCanImage projects. The content will be delivered by a panel of invited international expert faculty.
The cost to attend this two-day meeting is €80 for residents/ €100 for non-residents/ €150 to register onsite.
12.5 CPD credits will be awarded according to the CPD scheme of the Royal College of Radiologists. EACCME accreditation has been applied for.
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 review key developments in AI and machine techniques for cancer imaging
2. To appreciate the current controversies and development for AI and machine learning for cancer imaging
3. To understand the perspectives from industry and domain experts
4. To learn from exemplars of clinical use cases and large scale research projects
This meeting will be held at the Champalimaud Centre of the Unknown, Av. De Brasilia, 1400-038 Lisbon, Portugal.
Date: Friday 30th June & Saturday 1st July 2023
Time: Two full days, commencing each day at 09:00.
Registration: €80 for residents/ €100 for non-residents/ €150 to register onsite
Official Language: English. No translation system available.
Organising Committee:
Celso Matos, Dow-Mu Koh, Fred Prior, Nickolas Papanikolaou, Charles Kahn, 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 will continue to have a deep impact on how radiologists, as well as clinicians, will work in the future. This will provide a forum for imagers, scientists, clinicians and industry 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 look forward to your engagement in Lisbon!
Celso Matos, Dow-Mu Koh and Nikos Papanikolaou
On behalf of the Organising Committee*
REGISTRATION FEES
Residents: €80
Non-residents: €100
Onsite registration: €150
By Air
Lisbon is served by Humberto Delgado Airport, informally known as Lisbon Airport.
Getting to the Champalimaud Centre for the Unknown from Lisbon
Take the Cascais train that departs from Cais do Sodré Station every 20 minutes. The journey takes 7 minutes. From there, walk along the waterfront, past the Discoveries Monument and the Belém Tower.
You may ride the train (as well as the city’s metro, trams, buses, and funiculars) for free with the Lisboa Card.
Leonor Cerda, Valencia, Spain
Hersh Chandarana, New York, USA
Mario A.T. Figueiredo, Lisbon, Portugal
Natally Horvat, New York, USA
Raj Jena, Cambridge, UK
Rowland Illing, Washington, USA
Jayashree Kalpathy-Cramer, Colorado, USA
Charles Kahn, Pennsylvania, USA
Dow-Mu Koh, Sutton, UK
Kostas Marias, Greece
Luis Marti-Bonmati, Valencia, Spain
Celso Matos, Lisbon, Portugal
Christina Messiou, London, UK
Nikolaos Papanikolaou, Ph.D., Lisbon, Portugal
Fred Prior, Arkansas, USA
Evis Sala, Rome, Italy
Manuel Salto-Tellez, London/Belfast, UK
Lawrence Tanenbaum, New York, USA
Sarah Vinnicombe, Cheltenham, UK
Rozemarijn Vliegenthart, Groningen, The Netherlands
Weichung Wang, Taipei, Taiwan
UK Delegates
CPD points awarded by the Royal College of Radiologists – delegates will receive 12 credits in total for attendance on 30th June & 1st July.
Day 1: 6.5 credits
Day 2: 5.5 credits
The Royal College of Radiologists have awarded this meeting 11 category 1 CPD credits
The Canadian Association of Radiology** has awarded this meeting 11.25 CME points
This meeting is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification (MOC) program of the Royal College of Physicians and Surgeons of Canada (Royal College) and has been approved by the Canadian Association of Radiologists (CAR) for a maximum of 11.25 credit hours.
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