The chapter in Digital Health is titled ‘Moving Toward Explainable Decisions of Artificial Intelligence Models for the Prediction of Functional Outcomes of Ischemic Stroke Patients’
ADAPT Principal Investigator and Academic Leader at Technological University Dublin, Professor John D. Kelleher, along with PRECISE4Q colleagues Esra Zihni and Bryony McGarry, recently published a chapter within the book Digital Health on the topic of ‘Moving Toward Explainable Decisions of Artificial Intelligence Models for the Prediction of Functional Outcomes of Ischemic Stroke Patients’. Their research is as a result of the project PRECISE4Q (Personalised Medicine by Predictive Modelling in Stroke for better Quality of Life), a Digital Stroke Patient Platform.
This book chapter, officially scheduled for publication in March 2022 in the book Digital Health but available online through the Rapid Publications service, focuses on the potential applications of Artificial Intelligence (AI) in assisting clinical decision support systems (CDSS) for the treatment of ischemic stroke. The chapter highlights how CDSSs can be beneficial to ischemic stroke patients due to the heterogeneity, complexity, and time-critical nature of the condition and the wealth of physiological information available from neuroimaging. CDSSs aim not to replace clinicians but increase the efficiency of medical diagnosis and treatment. Despite the positive applications, AI systems can be met with resistance among healthcare professionals as they can be difficult to validate. The importance of explaining model decisions has resulted in the emergence of explainable artificial intelligence, which aims to understand the inner workings of artificial intelligence models.
For more information on the importance of explaining model decisions and for example studies, read the full chapter here.
PRECISE4Q project partners include Technological University Dublin (Ireland), University College Dublin (Ireland), University of Murcia (Spain), QMENTA (Spain), AOK Northeast – GEWINO (Germany), DFKI German Research Center for Artificial Intelligence (Germany), Medizinische Universität Graz (Austria), Linköping University (Sweden), Fundació Institut Guttmann (Spain), University of Tartu (Estonia), Health Ethics and Policy Lab – EBPI, Universität Zürich (Switzerland), Charite Universität Berlin, and empirica.
The project has also received funding from the European Union’s Horizon 2020 research and innovation programme.