He added, “This research will support the development of the next generation of clinical decision support systems, delivering hyper-personalised recommendations to achieve xWave’s mission of ensuring that patients get the best test first.” xWave and CeADAR have identified a way to use artificial intelligence and machine learning to unlock some of this data to ensure that patients are getting referred for the best test for them, not only taking into account their medical history but also their lifestyle, seasonal, geographic, demographic and social factors that can have a significant impact on health outcomes.” Mitchell O’Gorman, CEO, xWave Technologies, said, “It is estimated that 30% of the world’s data is being generated by healthcare alone. Recent advancements in AI provide a significant opportunity to bring a data-driven approach to make medical diagnostic referring more predictive and personalised to the patient’s needs and is the focus of xWave’s project with CeADAR. XWave Technologies currently provides a clinical decision support platform to support clinicians in selecting the best test for their patients. It also costs health systems the substantial sums of money spent annually on unnecessary radiology scans.Ĭentral to these problems is the ability to ensure that the patient is referred for the best test for them at the right time. This can result in long waiting lists and poor patient outcomes, including delayed diagnoses, missed diagnoses and unnecessary radiation exposure. In radiology, for example, it is estimated that up to 50% of advanced radiology scans may be unnecessary and not of benefit to the patients that they are performed on. However, medical diagnostics is a field fraught with problems, including the timely and accurate diagnosis of patients to give them the best health outcomes possible. Medical diagnostics, such as radiology and pathology, perform a vital role in the early identification of a disease in patients and determining the subsequent treatment pathways for the patient. XWave Technologies, an Irish healthtech start-up headquartered at NovaUCD, and CeADAR, Ireland’s Centre for Applied AI, at University College Dublin, have today announced the commencement of an innovation partnership project.įunded through the Enterprise Ireland Innovation Partnership Programme the project will research the use of artificial intelligence (AI) to predict the best medical diagnostic test for a patient based on a range of input data. Enterprise Ireland funded project to research the use of AI to predict the best medical diagnostic test for a patient xWave Technologies and CeADAR Announce AI Innovation Partnership Pictured (l-r) at NovaUCD are Ricardo Simon Carbajo, Head of Innovation and Development, CeADAR Leo Clancy, CEO, Enterprise Ireland and Mitchell O'Gorman, CEO, xWave Technologies.
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