📅 March 4–8, 2026
📍 Austria Center Vienna, Vienna, Austria
DeepTrace Technologies will participate in the European Congress of Radiology (ECR 2026), the annual scientific meeting of the European Society of Radiology (ESR) and one of the most influential international events dedicated to medical imaging, radiology research, and artificial intelligence in healthcare.
Held at the Austria Center Vienna, ECR brings together thousands of radiologists, clinicians, researchers, physicists, and healthcare technology experts from more than 100 countries, providing a global forum for presenting scientific advances in diagnostic imaging, radiomics, and data-driven clinical decision support.
At ECR 2026, DeepTrace will contribute to the scientific programme through oral presentations and scientific posters, showcasing research developed within its AI-powered imaging analysis ecosystem, including Trace4Research™, Trace4AFEM™, and TRACE4AD™.
The presented studies explore the application of artificial intelligence, radiomics, and advanced data analysis to support clinicians and researchers in the early detection, diagnosis, prognosis, and personalized management of complex diseases. These works reflect ongoing collaborations between DeepTrace and clinical and academic partners, aimed at translating advanced computational methods into practical tools for medical research and clinical decision support.
Participation in ECR represents an important opportunity for DeepTrace to share scientific results with the international radiology community, strengthen collaborations with hospitals and research institutions, and contribute to the advancement of AI-driven precision medicine.
During ECR 2026, DeepTrace researchers and collaborators will present the following scientific works.
Oral Presentations
📌 DigitalTwin for Breast Cancer Risk Monitoring from Mammography
Authors: Darvizeh F, Mosconi A, Interlenghi M, Venturi A, Salvatore C, Ali M, Papa S, Castiglioni I, and Fazzini D
Presenter: Alberto Mosconi (DeepTrace)
📌 CNNs for Automated Detection of Lung Emphysema in Chest CT studies
Authors: Darvizeh F, Schiavon E, Interlenghi M, Mosconi A, Lad A, Salvatore C, Alessandro venturi, Fazzini D, and Castiglioni I
Presenter: Matteo Interlenghi (DeepTrace)
📌 AI-based predictive model in estimating the risk of neurodegeneration in early symptomatic and asymptomatic individuals undergoing brain MRI
Authors: D’Anna G, Salvatore C, Mosconi A, Vitali P, Zanardo M, Nemni R, Pizzini FB, Castiglioni I, and Fazzini D
Presenter: Christian Salvatore (DeepTrace, IUSS Pavia)
Poster Presentations
📌 Digital Twin technology in monitoring male patients and identifying risk of prostate cancer
Authors: Darvizeh F, Mosconi A, Venturi A, Salvatore C, Ali M, Papa S, Castiglioni I, and Fazzini D
Presenter: Christian Salvatore (DeepTrace, IUSS Pavia)
The scientific contributions presented at ECR 2026 reflect DeepTrace’s ongoing research in artificial intelligence for medical imaging, radiomics-based biomarker discovery, and predictive modelling for clinical decision support. These activities are part of the broader development of DeepTrace technologies aimed at supporting clinicians and researchers in the early detection, diagnosis, prognosis, and personalized management of complex diseases, contributing to the advancement of data-driven and AI-powered precision medicine.
