AI & Data in Health

In collaboration with international collaborators and our partner hospitals, UCD experts are developing cutting-edge AI technologies and using data-driven approaches to provide innovative solutions that are helping clinicians, industry and society make better decisions. 

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Research Units and Programmes

UCD and Northeastern University partner to advance Health Tech research

Technology is driving major advances in healthcare and health outcomes for people at all stages of life, in many domains including AI, machine learning and data analytics, health informatics, robotics, and Industry 5.0. UCD has partnered with NorthEastern University - a Top 10 U.S. research institution and home to leading global experts in health informatics and the deployment of Artificial Intelligence and Machine Learning in health, to leverage shared research strengths to grow impact, particularly in areas of maternal health and clinical decision support technologies. UCD's Prof Patricia Maguire and NU's Director of Bioinnovation Prof Jared Auclair spoke about their work in the Irish Independent's Future of Healthcare supplement.

Featured Researchers

Breaking new ground in AI-driven imaging for cancer surgery

The Classica consortium led by UCD with Pintail Ltd. aims to clinically validate the use of AI-driven imaging and decision support in real time during cancer surgery. The project builds on breakthrough research in the AI analysis of fluorescence and perfusion in cancer tissues carried out by Professor Ronan Cahill and colleagues in UCD, RCSI and IBM Research at the Mater Hospital. The consortium are working to build up an existing AI solution research prototype into an operating-room-standard surgical tool and validating its performance, reliability, usability, and acceptance in five leading cancer surgery centres across Europe.

 

May 2023

AI in Haematology

AI in Clinical Medicine: A Practical Guide for Healthcare Professionals

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September 2022

Control of cell state transitions

Nature

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May 2023

AI Techniques to Differentiate Between Sub-Groups of Diffuse Cystic Lung Diseases Using Phenotypic Characteristics

American Journal of Respiratory and Critical Care Medicine

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December 2020

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

British Journal of Surgery

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