AI-based Software for Chest X-rays Receives CE Certification
By MedImaging International staff writers Posted on 20 Feb 2019 |

Image: A screenshot from the ChestEye radiology imaging suite (Photo courtesy of Oxipit).
Oxipit (Vilnius, Lithuania), a provider of AI-based medical imaging solutions, has received CE certification for its ChestEye radiology imaging suite. Oxipit ChestEye provides analysis and preliminary reports for 75 most common radiological findings - the largest scope of diagnosis currently available on the market - with an average area under curve metric of 93%.
ChestEye imaging suite encompasses a fully automatic computer aided diagnosis (CAD) platform which supports 75 radiological findings. The software localizes these features on a radiograph as a heatmap. It also generates a standardized preliminary text report that incorporates all the radiologically relevant information present in a chest X-ray image. Its search module incorporates a search engine for finding similar-looking chest X-rays in a given database, empowering the user to quickly find retrospective cases with a similar radiological appearance. The similarity is identified by a neural network, which judges on the pathology present as well as the location of the pathology, its severity and other features.
The suite also includes a patient prioritization solution. After receiving the input of ChestEye scan results, the platform prioritizes potentially unhealthy patients inviting urgent specialist attention. By automatically arranging scans on the basis of urgency, it reduces time-to-treatment for time sensitive conditions such as pericardial effusion, pneumothorax, catheter or intubation malposition. The ChestEye suite is available for deployment on premises as well as a cloud-based software and seamlessly integrates into the workflow of any radiology department.
ChestEye is the first AI-based full workflow medical imaging suite to be certified by a CE mark which ensures that the software complies with medical device regulations and paves the way for commercial deployments in 32 European countries.
“The burden on radiologists has been constantly increasing. This has led to decline in quality of service for patients and bottlenecks to access good quality radiological reporting. The CE mark brings us a step closer in helping radiologists to harness the capabilities of Deep Learning in order to multiply their productivity and provide excellent service around the clock,” said Oxipit CEO Gediminas Peksys.
Related Links:
Oxipit
ChestEye imaging suite encompasses a fully automatic computer aided diagnosis (CAD) platform which supports 75 radiological findings. The software localizes these features on a radiograph as a heatmap. It also generates a standardized preliminary text report that incorporates all the radiologically relevant information present in a chest X-ray image. Its search module incorporates a search engine for finding similar-looking chest X-rays in a given database, empowering the user to quickly find retrospective cases with a similar radiological appearance. The similarity is identified by a neural network, which judges on the pathology present as well as the location of the pathology, its severity and other features.
The suite also includes a patient prioritization solution. After receiving the input of ChestEye scan results, the platform prioritizes potentially unhealthy patients inviting urgent specialist attention. By automatically arranging scans on the basis of urgency, it reduces time-to-treatment for time sensitive conditions such as pericardial effusion, pneumothorax, catheter or intubation malposition. The ChestEye suite is available for deployment on premises as well as a cloud-based software and seamlessly integrates into the workflow of any radiology department.
ChestEye is the first AI-based full workflow medical imaging suite to be certified by a CE mark which ensures that the software complies with medical device regulations and paves the way for commercial deployments in 32 European countries.
“The burden on radiologists has been constantly increasing. This has led to decline in quality of service for patients and bottlenecks to access good quality radiological reporting. The CE mark brings us a step closer in helping radiologists to harness the capabilities of Deep Learning in order to multiply their productivity and provide excellent service around the clock,” said Oxipit CEO Gediminas Peksys.
Related Links:
Oxipit
Latest Industry News News
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
- Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more