Presentation by C.D. Fuller for
Embracing the AI Revolution: A one-day dive into future-proof implementation; The Clinical Perspective.
Friday, 3 May 2024 from 08:30-17:00Course 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 modelsIdentify the risks (or lack thereof) of AI-based automated methodsRecognize the challenges and opportunities of implementing an AI solutionDiscuss the multidisciplinary requirements of AI in the clinicAddress education and training of staff in an AI-fuelled clinicMake informed projections about the future clinical landscape shaped by AI
Embracing the AI Revolution: A one-day dive into future-proof implementation; The Clinical Perspective.
Friday, 3 May 2024 from 08:30-17:00Course 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 modelsIdentify the risks (or lack thereof) of AI-based automated methodsRecognize the challenges and opportunities of implementing an AI solutionDiscuss the multidisciplinary requirements of AI in the clinicAddress education and training of staff in an AI-fuelled clinicMake informed projections about the future clinical landscape shaped by AI