Meet Optellum at the ATS 2018 Congress

Meet Optellum at the ATS 2018 Congress

Join us at the American Thoracic Society 2018 Congress in San Diego,  North America’s premier congress for pulmonary medicine, from May 20 till May 23.

  • Meet us at Booth No 6 in the Clinical Trials section (AI & Lung Cancer)
    Learn about NIHR IDEAL, the world’s first prospective multi-center trial of Lung Cancer Prediction AI, led by Oxford University Hospitals with the authors of NICE and British Thoracic Society guidelines.
  • Visit our Scientific Poster  (Tuesday  May 22,  9.15am-11.15am)
    Board 114: “Deep Learning-based Risk Stratification of Patients with Suspicious Nodules” 
  • See our Oral Presentation on the main scientific programme (Wednesday May 23, 2pm-2.15pm)
    Dr. Timor Kadir, Chief Scientific & Technology Officer, presents a talk “Solid and Part-solid Lung Nodule Classification Using Deep Learning on the National Lung Screening Trial Dataset”.

Leo Grady joins Optellum’s Scientific Advisory Board

Leo Grady joins Optellum’s Scientific Advisory Board

Optellum Scientific Advisory Board welcomes Leo Grady,  an internationally recognized expert in healthcare machine learning and building medical imaging Software-as-a-Service (SaaS) products.

BBC World News:  Optellum could save the National Health Service

BBC World News: Optellum could save the National Health Service

The government’s healthcare tsar, Sir John Bell, has told BBC News that AI could “save the NHS”.  Sir Bell, the Regius Professor of Medicine, has highlighted Optellum as a company that has real potential to contribute to that goal.    See full coverage in the worldwide BBC News here and in BBC iPlayer as broadcast on January 2.

Prof Matthijs Oudkerk joins Optellum Medical Advisory Board

Prof Matthijs Oudkerk joins Optellum Medical Advisory Board

Optellum welcomes one of world’s most visionary and influential thought leaders in lung cancer screening, Dr. Matthijs Oudkerk, to join its Medical Advisory Board.

Matthijs Oudkerk is the Professor and Chair of Radiology at the University Medical Center Groningen.   He is the co-Principal Investigator of the NELSON study (Europe’s largest lung cancer screening trial) and the lead author of the official EU position statement, on how lung cancer screening shall be implemented in Europe (Lancet Oncology, November 2017)

Prof. Oudkerk joins a team of global leading lung cancer experts that help Optellum redefine early interception of lung cancer, including

  • Fergus Gleeson MD, Professor of Radiology,  University of Oxford  (co-author of British Thoracic Society pulmonary nodule & NICE lung cancer guidelines)
  • Pierre Massion MD,  Pulmonologist, Cornelius Vanderbilt Chair in Medicine, Ingram Professor of Cancer Research, Vanderbilt Medical Center (a world-leading specialist in lung cancer biomarkers)
  • Reginald Munden MD, Chair of Radiology,  Wake Forrest Baptist Health (former M.D. Anderson Cancer Centre PI in the National Lung Screening Trial)
Optellum & EIT Health-funded consortium showcase their Virtual Lung Clinic at IASLC 18th WCLC in Yokohama Japan

Optellum & EIT Health-funded consortium showcase their Virtual Lung Clinic at IASLC 18th WCLC in Yokohama Japan

EIT Health LUCINDA (Early Lung Cancer Diagnosis with Artificial Intelligence and Big Data) is a consortium of leading clinicians & hospitals in the UK, the Netherlands and Germany (Oxford University Hospital, the University Medical Center Groningen, Heidelberg University Hospital & ThoraxKlinik Heidelberg, and the University of Oxford) and Optellum – a high-tech start up from Oxford, UK. This unique team of experts in Lung Cancer, Machine Learning and medical technology product development have united to address a huge and growing problem in Lung Cancer diagnosis, the management of patients presenting with indeterminate pulmonary nodules. Supported by EIT Heath, European Union’s flagship initiative driving healthcare innovation to market, the team have developed the world’s first image-based decision support software to improve patient management and reduce unnecessary follow-up procedures.

The team will be showcasing their work for the first time at IASLC 18th World Conference on Lung Cancer in Yokohama Japan on 15 to 18th October 2017.

Early detection of lung cancer by a Chest Computed Tomography (CT) scan, frequently performed for a variety of reasons ranging from screening for lung cancer to scanning for suspected cardiac disease or even following trauma, can dramatically improve survival rates.  Such scans frequently identify pulmonary nodules, small opacities in the lung, typically less than 1cm in size. Up to 30% of all patients scanned have such small nodules, but the vary majority are harmless and will not cause problems to the patient. Unfortunately, radiologists frequently struggle to determine if a nodule is cancerous, leading to an indeterminate diagnosis which requires up to two year follow-up imaging to monitor growth. In some cases, additional biopsies and surgeries are performed to investigate nodules that ultimately turn out to be benign. Such additional procedures can increase patient stress, carry a risk of complications and present a huge and growing burden on limited healthcare system resources.

EIT Health have developed expert-level decision support software that can improve a doctor’s ability to correctly diagnose lung nodules. Their software, utilizing state-of-the-art deep learning, provides an objective risk score of nodule malignancy learned from a database of thousands of examples with known ground-truth diagnoses.  The output enables clinicians to confidently stratify lung nodule patients earlier, potentially on the basis of only one or two scans.

“Our project consortium, comprising Europe’s leading institutes in lung cancer screening in Groningen and Heidelberg, along with experts in healthcare machine learning at Optellum and Oxford, is uniquely positioned to tackle this critically important problem,” comments Prof. Gleeson (Oxford), co-author of the 2015 British Thoracic Society guidelines for the management of pulmonary nodules. Prof. Gleeson continues, “We believe that this system will improve patient care and reduce the burden of managing indeterminate lung nodules in both incidental and screening settings.”

Members from the EIT Health LUCINDA team will be available at the educational exhibit, entitled EIT Health:  AI & Lung Cancer in Yokohama (Booth 1114), to:

    1. Explain how image-based decision support with Deep Learning can enhance clinical workflows, with more consistent patient management & reduced false positives.
    2. Demonstrate the prototype AI software. Visitors can get hands on experience with the demonstration system and provide feedback to guide future developments, trials and validation studies.

About EIT Health LUCINDA

Academic partners

The academic partners are among the world-leading hospitals specializing in lung cancer research and clinical care, including Oxford University Hospitals, Heidelberg University Hospital and the University Medical Centre Groningen.

Industry partner

Optellum is a high-tech startup based in Oxford, UK developing the world’s first automated patient management and image-based risk stratification software for incidental and screen-detected nodules in CT. Their vision is to make significant improvements in lung cancer diagnosis and patient management from the current standard of care using Deep Learning.  Optellum comprise a team of award-winning machine learning and imaging experts who met at Oxford’s world-renowned computer vision laboratory with track records of bringing innovative medical technology to market, including multiple trade-sales, IPO.

for more information contact:


About the WCLC:

The World Conference on Lung Cancer (WCLC) is the world’s largest meeting dedicated to lung cancer and other thoracic malignancies, attracting over 6,000 researchers, physicians and specialists from more than 100 countries. The goal is to disseminate the latest scientific achievements; increase awareness, collaboration and understanding of lung cancer; and to help participants implement the latest developments across the globe. Organized under the theme of “Synergy to Conquer Lung Cancer,” the conference will cover a wide range of disciplines and unveil several research studies and clinical trial results. For more information, visit

The IASLC is the only global organization dedicated solely to the study of lung cancer and other thoracic malignancies.The organization’s multi-disciplinary membership allows for collaboration among stakeholders, with the goal of uncovering the best solutions for lung cancer patients around the world.  Members of the IASLC and conference attendees are the world’s preeminent experts in lung cancer and other thoracic malignancies, including surgeons, oncologists, pulmonologists, radiologists, pathologists, epidemiologists, basic research scientists, nurses, allied health professionals and industry representatives.

The World Conference on Lung Cancer is the premier event for those in the lung cancer field to convene and collaborate. By providing a global stage for the latest scientific advancements and the highest-quality research, the conference advances the treatment of lung cancer and other thoracic malignancies worldwide.

Optellum CSTO presents ‘Machine Learning for Medical Imaging’ webinar at the British Institute of Radiology

Optellum CSTO presents ‘Machine Learning for Medical Imaging’ webinar at the British Institute of Radiology

Dr Timor Kadir

Join @Optellum CSTO Dr Timor Kadir at the British Institute of Radiology, invited to speak on machine learning for medical imaging. Register here for a webinar on 12th September 2017 12:00 – 13:00 London time (GMT+01:00):

Dr Kadir will discuss the use of Artificial Intelligence/Machine Learning (AI/ML) in stratification of patients with possible lung cancer and management of patients with chronic back pain. He will explain what AI/ML can provide beyond what has been possible to date and explore its impact on the role of clinicians.