This high paced web-based seminar teaches the essential components of AI in healthcare. It explains the fundamentals of AI, i.e. how it is based on Machine Learning and Deep learning and how AI algorithms are categorized. It discusses the different data set collections that are needed, standard implementations such as DICOM and IHE as well as regulatory considerations.
This seminar provides a 'big picture', which is useful for a wide variety of professionals, ranging from radiologists, PACS administrators, implementors and IT support personnel. It can also be used as a foundation for anyone who wants to learn about this technology as they are looking for a career in healthcare imaging and informatics such as software developers and integration and interface analysts.
Students will understand the role of AI in the various parts of the imaging acquisition, processing and interpretation chain.
This is a synchronous delivered, instructor lead, live web session. The seminar has 2 sections/modules of one hour each.
It is strongly recommended to dial-in to the virtual classroom 15 minutes prior to the class to resolve any technical issues with audio, internet, etc.
You purchase a single "seat" which means that you should not share the invite for the meeting with others. If you wish to have several participants, you can order additional seats. Each participant will than get a copy of the hand-outs.
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