AI Connect Marketplace
AI Connect from Wellbeing Software is available free of charge to the NHS. Our specialist healthcare systems are installed in 81% of trusts, affording our AI partners a unique opportunity to accelerate the adoption of their algorithms into UK radiology. Our customers benefit from a standard integration approach, enabling the consistent enablement and use of different applications.
AI Connect is a vendor neutral gateway which is proven to work with our own market leading RIS, as well as 3rd party systems. We create repeatable and scalable integrations to connect multiple different algorithms, which significantly reduces the complexity and scale of adoption for both the supplier and the customer.
The user experience is optimised and clinical advantage is maximised through bespoke radiology workflow integration. This is a key requirement of radiologists and a valuable differentiator for providers.
A list of our existing partners is presented in our marketplace below. Whether you’re an NHS Trust seeking to introduce AI, or an AI vendor wishing to accelerate market access, or to streamline the adoption of your algorithm; connect with us.
New partnerships and integrations are in development, therefore please keep visiting for updates. Case studies and user testimonials are available on our main AI Connect page.
AI Connect Partners
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Boost your workflow with the new generation of perfusion imaging solutions. We’re bridging the gap between science and clinical practice. We believe in the power of science. Paving new ways, questioning how we diagnose to treat and cure, while working tirelessly to apply the potential of new technology is at the heart of all we do. We use research to prove new ways for more accurate, more efficient and reliable assessment.
AZmed was founded with the aim of improving working conditions for doctors. We develop solutions based on artificial intelligence to optimize their workflow, enhance their performance and contribute to improve the quality of care. Our mission is to put the doctor-patient relationship at the core of concerns.
Qure.ai is an AI solution provider developing decision support tools for medical imaging professional. Qure’s solutions automatically interprets X-rays and CT Scans and focuses on the diagnosis of pulmonary diseases and traumatic brain injuries (TBI). The technology improves both the accuracy and efficiency of the radiology function in traditional hospital settings, and also makes leading-edge medical imaging services accessible to smaller, remote medical care teams with limited to no in-house radiology capability.
GLEAMER develops artificial intelligence solutions to assist radiologists and emergency physicians in their daily work. The company aims to revolutionize radiography with a suite of AI solutions capable of providing diagnostic aid to reduce medical errors and improve clinicians’ productivity.
GLEAMER’s first AI solution BoneView® detects and highlights lesions in radiographic images, thus providing healthcare professionals with a safe, reliable, time-saving, and intuitive diagnostic aid. BoneView® received the CE mark IIA in March 2020 and has to date analyzed nearly 2 million images.
annalise.ai is one of the largest medical imaging AI companies in the world. Established by clinicians for clinicians, annalise.ai develops comprehensive AI solutions intended to assist with the interpretation of radiological imaging studies.
The company’s first solution is Annalise CXR; comprehensive AI clinical decision-support for chest x-ray (CXR) studies. It acts as a second pair of eyes for clinicians, detecting 124 findings and analysing up to three images per study, including frontal and lateral images. The customisable user interface (UI) integrates seamlessly into PACS and RIS, minimising disruption to the workflow.
Annalise CXR is available for clinical use in the UK, Europe, Australia, New Zealand and Malaysia
contextflow SEARCH Lung CT offers clinical decision support for 19 disease patterns + lung nodules in lung CTs, providing relevant statistics, reference cases and differential diagnosis information directly in your PACS. Average reading time is 31% shorter* when contextflow SEARCH Lung CT is available for use. *not yet published data.
As UK&I distributor of Arterys Inc, AMG Medtech will make available the full range of clinical applications for Cardiac, Lung, Chest MSK, Neuro and Breast. Leading the way will be Cardio AI with 4D Flow, a comprehensive, cloud-based post-processing solution that leverages AI and deep learning to provide automated, fast, and repeatable analysis of cardiac MRI images. Cardio AI quantifies and visualizes 4D flow in minutes, enabling physicians to decrease scan time by ~30% and providing fast access to automated and quantitative cardiac MR image analysis and customisable reporting. This reduces tedious and operator-dependent manual tasks, saving up to 25 minutes per study and improving the overall workflow.
Arkangel AI is an X-ray AI assistant for emergency department physicians and radiologists designed to analyze chest x-rays. It is a computer-aided triage and notification software indicated for use in the analysis of medical images. The App assists hospital networks and trained medical specialists in workflow by flagging in posteroanterior (PA) and anteroposterior (AP) chest x-rays with suspected findings including COVID-19 Pneumonia, Common Pneumonia, Atelectasis, Emphysema and Cardiomegaly.
Our red dot® algorithm analyses and highlights abnormalities in images with impressive speed and accuracy. Our AI has been developed from over 30,000 images all of which have been reviewed by experienced UK certified Consultant Radiologists.
We bring breakthrough image analysis to daily clinical care. We are building an industry-leading portfolio to enable personalized imaging and diagnosis for millions of patients with chronic lung conditions.
Radiobotics is developing AI solutions for musculoskeletal radiology (MSK) – our solutions will increase throughput but also improve the diagnostic quality by automating the analysis and description of routine medical x-ray images. Our algorithm provides two outputs, a secondary capture with overlays that highlight the radiographic findings and a draft structured report.
How to integrate AI
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