Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors

ConclusionIn order for AI applications to contribute to the improvement of the quality and efficiency of clinical radiology, implementation processes need to be carried out in a structured manner, thereby providing evidence on the clinical added value of AI applications.Key Points•Successful implementation of AI in radiology requires collaboration between radiologists and referring clinicians.•Implementation of AI in radiology is facilitated by the presence of a local champion.•Evidence on the clinical added value of AI in radiology is needed for successful implementation.
Source: European Radiology - Category: Radiology Source Type: research