The partnership will explore the use of AI to predict medical diagnostic tests for patients, which could improve wait times and patient outcomes.
A new AI innovation partnership was announced today (March 25) between Irish health tech start-up xWave Technologies and CeADAR, Ireland’s center for applied AI, to make medical testing more predictive and personalized for patients.
Medical diagnostics, such as radiology and pathology, is vital to identify diseases early in patients and to help physicians determine appropriate treatment options. However, there is some evidence that many chosen tests do not accurately help patients.
A US Food and Drug Administration article suggests that as many as 50 percent of high-tech imaging procedures, such as CT scans, may not be necessary because they don’t provide information that improves patient well-being.
CeADAR and xWave believe this could lead to long waiting lists, delayed diagnoses, missed diagnoses and unnecessary radiation exposure. They plan to use AI to sift through the vast amounts of data the health industry is creating to predict more appropriate tests for patients.
“It is estimated that 30 percent of the world’s data is generated by healthcare alone.” xWave Technologies CEO Mitchell O’Gorman said. “xWave and CeADAR have found a way to use artificial intelligence and machine learning to unlock some of this data to ensure patients are referred for the best test for them.”
O’Gorman said this AI method will take into account a patient’s lifestyle, medical history and other factors such as seasonal, geographic, demographic and social factors that “can have a significant impact on patient outcomes.”
The NovaUCD headquartered start-up provides a clinical decision platform to support medical professionals in selecting tests for patients. The platform is called xRefer, a radiology referral tool developed by xWave in collaboration with the European Society of Radiology.
The company believes recent advances in AI provide an opportunity to make medical diagnostic referrals more predictive and personalized to patient needs.
“Now that approximately 80 percent of health data is available in unstructured format, text and video, using machine learning (AI) techniques to analyze and learn from data in healthcare is becoming a necessity,” said CeADAR head of innovation and development Ricardo Simon Carbajo.
“This project uses the latest research in natural language processing and comprehension to extract, label, and analyze health data to provide patients with greater personalization and prediction,” said Simon Carbajo.
The partnership is funded through the Enterprise Ireland Innovation Partnership Programme. The agency’s CEO, Leo Clancy, said Irish innovators are playing “transformative roles” in shaping the future of healthcare.
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