contextflow

contextflow, founded in 2016, is a spin-off from the Medical University of Vienna and the European research project KHRESMOI. The company specializes in developing deep learning-based tools to improve radiology workflows, with a flagship product called ADVANCE Chest CT. This product provides comprehensive computer-aided detection support for suspected lung cancer, interstitial lung disease (ILD), and chronic obstructive pulmonary disease (COPD) cases. Key features of ADVANCE Chest CT include nodule detection and quantification, nodule tracking over time, quantitative lung tissue analysis, and qualitative analysis of 19 image patterns. The technology integrates directly into PACS systems, offering chest CT insights within the native viewer. contextflow’s ADVANCE Chest CT is CE marked and the company has received ISO 13485:2016 certification. The technology also includes nodule malignancy scoring to reduce false positives and detect lung cancer sooner. Clinical studies have shown that contextflow’s technology can reduce report reading time by 31%. The company has received funding from the European Union’s Horizon 2020 research and innovation program and has partnerships with various PACS providers, including Agfa, Medigration, Philips, Sectra, and Wellbeing. contextflow has also partnered with Neologica to integrate its ADVANCE Chest CT solution into Neologica’s LogiPACS. The company’s technology aims to save healthcare system resources and protect patients from unnecessary interventions by enabling early detection of lung diseases. contextflow has won several awards, including the Healthy Hub competition for innovative solutions in women’s health and early detection.