Project Lead: Judit Erdös
Authors: Judit Erdös, Lena Grabenhofer
Publication: February 2026
Language: English (with German summary)
Artificial intelligence (AI) is increasingly used in diagnostic imaging to support image interpretation, prioritise examinations, and improve clinical workflows. In the context of rising imaging volumes and limited human resources, AI-supported digital health technologies (DHTs) are discussed as potential tools to alleviate pressures on radiology services; however, their benefit for healthcare delivery has not yet been systematically assessed.
The aim of this work was to identify and prioritise AI-supported DHTs relevant for Austrian hospitals and to systematically evaluate the prioritised application with regard to clinical effectiveness, organisational implications, and resource requirements. Following a stakeholder-based prioritisation process, an AI-supported application for analysing chest X-ray images in patients with suspected lung cancer was selected. The evidence base comprised three health technology assessments and two additional primary studies. No patient-relevant clinical outcomes were reported, and evidence on diagnostic performance, organisational effects, and costs was limited.