At AIIC 2026, Italy, Agfa Radiology presents scientific paper on an AI-based QA framework to help reduce chest X-ray repeat/reject rates

At the 2026 Convegno Nazionale Associazione Italiana Insegneri Clinici (AIIC), in Torino, Italy, Adriyana Danudibroto, researcher from Agfa Radiology, will present the findings from the study “Post-exposure AI-based Quality Control for Chest X-ray: A Pilot Study”.

The study highlights the potential use of AI in quality assurance to support radiographers and healthcare providers in maintaining imaging workflow efficiency and the highest level of patient safety. It was a collaborative effort

Between Agfa and VRVis, Austria’s leading nonprofit research institution in the field of visual computing.

 

Supporting continuous quality improvement in routine clinical practice

Chest X-ray is the most frequently performed radiological examination, yet the repeat/reject rate is still substantial, mainly due to positioning error and incomplete anatomical coverage. Repeat exams result in increased patient dose, examination time, and operational workload.

With this pilot study, Agfa Radiology and its partner VRVis aimed to develop an AI-based system for post-exposure quality assessment of adult frontal and lateral chest X-rays to support radiographers in routine clinical practice. The team applied a two-step QA framework. In the first step, AI models carried out anatomical structure detection through segmentation and keypoint localization. In the second, quality criteria formulated by clinicians were evaluated using rule-based logic.

“Our study showed that, while post‑exposure quality assurance cannot prevent acquisition errors, it enables immediate, structured feedback supporting continuous quality improvement. In order to quantify the impact on repeat/reject rates in routine clinical practice, further prospective studies would be needed,” says Adriyana Danudibroto.

 

Join us at AIIC 2026 taking place 10-13 June at OGR Torino, Italy, to discover more about the study, its findings and the implications.  The presentation “Post-exposure AI-based Quality Control for Chest X-ray: A Pilot Study” will be held by Adriyana Danudibroto on Thursday, 11/06, 10:15.