"Challenges implementing and running an AI-Lab: Experience and Literature Review"

Abstract

The field of Artificial Intelligence (AI) is quickly growing and influences medical sciences, and Radiology in particular. Current literature is rarely dealing with the implementation process of an AI-Lab in opposite to the implementation and evaluation of AI-algorithms. This report describes perspectives how to install an AI-Lab within an academic hospital and for what it can be used. Many actions around the implementation process are necessary such as gaining permits from several institutional facilities, recruiting staff to run an AI-Lab, acquiring IT-hardware, and determining responsibilities. Access to radiological and medical data of patients is another complicated issue and must be consistent with patient safety and privacy as well as data security. Financial issues play a serious role in implementing and maintaining an AI-Lab. Rules are necessary for the communication inside and outside an AI-Lab. In conclusion, the implementation process of an AI-Lab is time-consuming with unexpected challenges confirmed by similar experiences in the current literature. For those, who intend to implement an AI-Lab, this report can be helpful as a basic support.

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