Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Optellum Virtual Nodule Clinic, including its proprietary artificial intelligence lung cancer prediction solution, has achieved CE certification under the European Union’s Medical Device Regulation.

Optellum, an Oxford-based medtech company co-founded by Oxford cancer researcher Prof. Sir Michael Brady that provides breakthrough AI technologies to help with early diagnosis of lung cancer, has attained CE marking for its Virtual Nodule Clinic – an AI-powered clinical decision support software that helps clinicians identify and track at-risk patients who present suspicious lung nodules which may or may not be cancerous. This latest certification will allow its use in the European Union (EU) and the United Kingdom (UK), and follows FDA clearance in early 2021 as the first AI-assisted diagnosis application for lung cancer.

The Virtual Nodule Clinic integrates the clinically validated Lung Cancer Prediction (LCP) score based on imaging AI and has the potential to improve clinical care coordination and decisions, with the aim to get patients treated before the disease has spread – crucially increasing lung cancer survival rates.

Lung cancer has the highest mortality rate of all cancers, with the current five-year survival rate at 20%. However, the survival rate for small tumours treated at Stage IA is up to 90% – a disparity which highlights a critical need for diagnosis and treatment at the earliest stage possible.

The platform is currently being piloted at ten NHS hospitals as part of DOLCE – a landmark research project led by Professor David Baldwin (Honorary Professor of Medicine at the University of Nottingham, and Consultant Physician at Nottingham University Hospitals NHS Trust). The project is part of the NHS AI Lab’s £140 million AI in Health and Care Award to accelerate the testing and evaluation of AI in the NHS so patients can benefit from faster and more personalised diagnosis and greater efficiency in screening services.

 

There is strong evidence from carefully conducted research that this AI based Lung Cancer Prediction tool does a better job of distinguishing benign from malignant nodules with the potential to save the NHS money currently spent on repeat CT scans. The DOLCE study aims to both confirm the results and quantify that saving and should be the last step in full implementation in the NHS. - Professor Baldwin, lead of the DOLCE study

Optellum is also the lead industrial partner in the UK’s DART (Data Using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases) consortium, working with NHS England’s Targeted Lung Health Check programme which will provide lung cancer screening to approximately 600,000 eligible people.

 

Having CE marking will allow us to use our innovative AI in the existing UK clinical sites, enabling physicians and patients to benefit from our technology without delay. - Jason Pesterfield, CEO of Optellum

Read more in the Optellum press release.

Similar Stories

National clinical study launched to test new technologies for detecting liver cancer

The SELINA study will recruit patients with early liver cancers as part of the DeLIVER programme aiming to detect liver cancer earlier.

Early detection innovation award for Oxford researchers

Professor Julia Hippisley-Cox and Dr Tingting Zhu win funding for their collaborative project on novel test technologies for patient triage in primary care.

Predicting early recurrence of pancreatic cancer

Dr Daniel Hughes and colleagues identify NUDT15 as a potential biomarker for pancreatic cancer recurrence following surgery.