8. AI in radiation oncology
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CME-certified course
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CME points: 2
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Modules: 1
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Learning time: 45 minutes
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Speaker: Prof. Dr. Sebastian Adeberg
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On demand
After completing this course
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you will have gained a thorough overview of the various fields of application for AI in radiation oncology.
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you will be familiar with a range of different AI tools, as well as their functions and advantages.
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you will be aware of the challenges that AI presents in radiation oncology.
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you will be familiar with the advantages of using AI tools in radiation oncology.
Course modules
Prof. Dr. Sebastian Adeberg
Biography
Prof. Dr. Sebastian Adeberg has specialised in radio-oncology and radiation therapy. His professional career began at the University Hospital Heidelberg, where he held various leadership positions from 2012 to 2022, including that of managing and later senior physician. Since March 2023, Prof. Adeberg has been the Director of the Clinic for Radiation Therapy and Radio-Oncology at the University Hospital Marburg. He also heads the Marburg Ion Beam Therapy Center (MIT), one of the few facilities worldwide that offers both proton and carbon ion therapy. His scientific interests include, among others, brain and head-and-neck tumours, as well as the integration of imaging techniques in treatment planning.
Educational background
Studied medicine at the Medical School of Hanover, Ruprecht-Karls-University Heidelberg, and Harvard University. He completed his doctorate in 2014, followed by his habilitation in 2018, and was appointed professor at the University Hospital Heidelberg in 2021.
Educational background
Studied medicine at the Medical School of Hanover, Ruprecht-Karls-University Heidelberg, and Harvard University. He completed his doctorate in 2014, followed by his habilitation in 2018, and was appointed professor at the University Hospital Heidelberg in 2021.
Conflicts of interest
Sponsorships
CME-accredited
Our courses are CME-accredited by the Medical Association of Hessen. Our courses also offer European CME points (ECMEC®s).
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