The Mater Misericordiae University Hospital (MMUH) has become the first hospital in Ireland to establish a Centre for AI and Digital Health. The new hub, which will be based at the Pillar Centre for Transformative Healthcare, will utilise artificial intelligence (AI) to solve clinical problems across the hospital and, through research, develop AI-driven solutions to improve patient care and outcomes.
The Mater Hospital’s Centre for AI and Digital Health has been brought about through the collaboration of consultants, researchers and hospital leadership, and will make a tangible difference in patient care. From reducing emergency department waiting times, to assisting in diagnostics and automating time-consuming tasks, the Centre will place the Mater Hospital at the forefront of AI-driven healthcare innovation in Ireland.
“AI has the power to transform how we deliver healthcare,” said Erin Daly, Operations Manager for the Pillar Centre for Transformative Healthcare. “At the Mater Hospital, we are developing AI solutions that directly improve clinical processes, whether it’s streamlining workflows, assisting in medical research, or helping doctors make faster, data-driven decisions.”
The Mater Hospital’s new hub for AI-driven medical advancements is overseeing the adoption of AI and engaging in research across multiple medical specialties, including radiology, oncology, cardiology, and ophthalmology.
“This centre offers a unique opportunity to bring together clinical and technical expertise to adopt and innovate with AI in Irish healthcare,” says Paul Banahan, Senior AI Research Fellow at the Mater Hospital.
Among some of its pioneering research projects are:
AI-driven automation which will help to identify suitable patients for clinical trials in oncology. This will significantly reduce the 16 hours per week it currently takes a nurse to manually scan these lists, speeding up patient access to clinical trials.
The reduction in the number of cardiac fluoroscopy video x-ray images, and subsequently the radiation exposure to both the patients and clinical staff, through real-time AI generated images.
The synthetic spinal imaging project, which has developed a generative AI that can convert lumbar spine CT images into synthetic MRI images for Cauda Equina Syndrome presentations, allowing for better and more robust out-of-hour or emergency care planning and treatment.
Speaking on the potential applications of AI in cardiology, Prof. Joe Galvin, Consultant Cardiologist at the Mater Hospital said, “AI has the potential to enhance the accuracy of ECG and radiology scan analysis, reducing the time that a patient has to wait for the results of their diagnosis and, if required, starting their treatment sooner. If a patient suffers from cardiovascular disease, stroke or cardiac arrest, every minute counts. AI’s ability to increase accuracy and speed may be life-saving.”
While AI promises significant benefits, the Centre is equally focused on its responsible and ethical implementation. Robust data protection and management frameworks are being developed to ensure patient safety and privacy, as well compliance with best practices.
“AI in healthcare must be implemented with care, accountability, and a clear focus on improving patient outcomes,” said Josephine Ryan Leacy, CEO of the Mater Hospital. “The Mater Hospital’s Centre for AI and Digital Health is focused on ensuring that AI is developed and deployed in a way that prioritises patient safety, transparency and real clinical benefits.”
The Centre’s work is already proving invaluable, with AI solutions contributing to the reduction of emergency department waiting times and optimising hospital workflows. In the Mater’s Radiology department, AI is assisting in the rapid notification of suspected pathologies, like stroke and fractures, which are being correctly flagged by AI within 2-3 minutes of the scan being completed, with an accuracy rate of over 90%.
Mater Hospital Consultant Radiologist Prof. Peter MacMahon said, “Our experiences have underscored the tangible benefits of AI, notably in expediting critical diagnoses and reducing turnaround times by rapidly flagging anomalies detected in scans.”
“Bringing AI into clinical practice is not just about innovation, it’s about making healthcare more efficient, effective, and accessible,” said Prof Brendan Kinsley, Clinical Director of the Pillar Centre for Transformative Healthcare. “The Mater Hospital’s Centre for AI and Digital Health is laying the groundwork for a smarter, more responsive healthcare system, and I am incredibly proud to see this vision come to life.”
For more information visit the Centre for AI and Digital Health website here.
