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

Hergan Klaus; Zinterhof Peter; Abed Selim; Schörghofer Nikolaos; Knapitsch Christoph; Sommer Oliver; Meissnitzer Matthias; Schlattau Alexander

doi:10.26717/BJSTR.2022.45.007222

Review ArticleOpen Access

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

Volume 45 - Issue 4

**Hergan Klaus¹*, Zinterhof Peter², Abed Selim³, Schörghofer Nikolaos⁴, Knapitsch Christoph⁵, Sommer Oliver⁶, Meissnitzer Matthias⁷ and Schlattau Alexander⁸**

Author Information Open or Close
- ¹Chief of the Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ²IT-Scientist, Leibnitz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, Garching, Germany and PhD Student Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ³Resident and PhD Student in the Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ⁴Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ⁵Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ⁶Chief of the Department of Radiology, Kardinal Schwarzenberg Hospital, Schwarzach, Austria and PhD Student in the Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ⁷Radiologist, Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria
- ⁸Radiologist, Department of Radiology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Austria

Received: August 02, 2022; Published: August 08, 2022

DOI: 10.26717/BJSTR.2022.45.007222

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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.

Keywords: Artificial Intelligence; Implementation; AI-Lab, Radiology; Computer Vision