Embracing the AI Revolution:A one-day dive into future-proof implementation; The Clinical Perspective.
Friday, 3 May 2024 from 08:30-17:00
Course directors:
Jennifer Dhont, Medical Physicist, Institut Jules Bordet (BE)
Frank Hoebers, Radiation Oncologist, Maastro Clinic (NL)
Stine Sofia Korreman, Medical Physicist, Aarhus University (DK)
Course aim:
To provide an insight into the practical aspects of implementing AI technology into the radiation oncology workflow. We aim for a multidisciplinary environment where topics related to AI adoption and its impact can be explored and discussed, promoting collaborative solutions.
Learning objectives:
By the end of this course, participants should be able to:
Understand the basic principles of supervised prediction models
Identify the risks (or lack thereof) of AI-based automated methods
Recognize the challenges and opportunities of implementing an AI solution
Discuss the multidisciplinary requirements of AI in the clinic
Address education and training of staff in an AI-fuelled clinic
Make informed projections about the future clinical landscape shaped by AI
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