‘Lung cancer screening with low-dose CT can save lives’, according to a recent policy paper in Lancet Oncology of November 2017.
Early detection of pulmonary nodules is very important for managing early-stage lung cancer and maximizing survival rates. Veye Chest addresses this difficult and time-consuming task by assisting the radiologist with automated detection of suspicious lesions. It combines high accuracy with a low false positive rate and seamless integration into the radiologist’s workflow for maximum efficiency.
Veye Chest meets the acute need for radiologists to find a better way to manage their pulmonary nodule workload. Time pressure, a shortage of radiologists in many countries and increasingly detailed clinical guidelines necessitate the use of specialized software. The introduction of deep learning in Veye Chest makes this possible for the first time without a separate user interface and with full integration into the reading process.
Mark-Jan Harte, CEO - Aidence:
‘We are very proud to receive one of the first level 2 certifications for deep learning-based medical software. This certification means that our software is approved for clinical use as part of the diagnostic process. Veye Chest can now be used in screening and routine clinical practice. Our goal is to make the management of early stage lung cancer more cost-effective and accurate as well as faster. This CE marking brings us a big step closer to achieving it.’
Several hospitals in the Netherlands are currently testing Veye Chest; the CE mark will accelerate the uptake in clinical practice in the UK, Sweden, Denmark and other European countries.
About Aidence: Amsterdam-based Aidence was founded in 2015 with the goal of improving medical diagnostics by applying deep learning. Its first product is Veye Chest, a solution for automated pulmonary nodule management on chest CT. Aidence is backed by investors NorthZone, HenQ and Health Innovations.
Contact: Juleke Boon at firstname.lastname@example.org or +31 (0) 6 4111 56 46.