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Shortbio: Mohammad Yaqub is a Professor in the Computer Vision Department at the Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE. He is also an honorary research fellow at the Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. He was the Vice President of Engineering at Intelligent Ultrasound limited - Oxford [2016 - 2020]. He has led the R&D team to develop state-of-the-art solutions in different clinical applications. His main achievement was the development of ScanNav, the first AI-based fetal anomaly scan assessment system. The product has been exclusively licensed by GE Healthcare and is now in the new ultrasound Voluson Swift machines. He spent several years at the Institute of Biomedical Engineering (IBME), University of Oxford initially as a DPhil student then as a research fellow until September 2016. After that he was an academic visitor at the IBME (until 2019), University of Oxford and the Nuffield Department of Clinical Neurosciences (until 2020), University of Oxford. He was also a teacher at the IT Learning Centre, IT Services, University of Oxford [2010 - 2020]. Furthermore, he is part of Oxford EMI Training where he teaches courses to non-English speaking university lecturers from all over the world who teach their courses in English. More details can be found here (www.oxfordemi.co.uk/lecturers). His research interests include medical image analysis (e.g., ultrasound, MRI and CT), deep learning / machine learning, and medical image registration. He has been granted several research grants funded by different parties such as EPSRC, Innovate-UK, and Philips Healthcare. Furthermore, he acts as a reviewer for several high tier journals and conferences. He has published over 35 peer-reviewed articles in top conferences and journals such as IEEE TMI, Medical Image Analysis, MICCAI and UOG. Full list of publications can be found here https://scholar.google.co.uk/citations?user=9dfn5GkAAAAJ&hl=en |
Abstract: The integration of Artificial Intelligence into healthcare is no longer a question of "if" but "how." However, without strategic foresight, AI initiatives risk becoming siloed, unsustainable, and financially draining projects. This talk moves beyond the hype to address the critical challenge of embedding AI responsibly into the very fabric of our health and social care systems. I will start by arguing whether the current healthcare system is sustainable. I will then discuss a couple of foresight in action to showcase the capabilities of AI in supporting health information systems. I will then zoom in on a few AI-driven decision support systems that my team and I built to improve the healthcare systems in specific applications. Before I finish with a take-home message, I will present the possible roadblocks to AI-driven sustainable systems. We will begin by confronting a critical question: Is our current healthcare system truly sustainable? From this foundation, we will transition into a showcase of 'Foresight in Action,' illustrating how AI is already augmenting health information systems to move from reactive care to proactive health management. The core of the talk will then zoom in on real-world, AI-driven decision support systems developed by my team, demonstrating tangible improvements in specific clinical and operational applications. Finally, we will adopt a clear perspective on the implementation roadblocks from data governance to ethical considerations that must be navigated to realize a truly AI-driven, sustainable future, concluding with a powerful take-home message for leaders across all domains.
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Shortbio: João Varajão is a Professor of Information Systems (IS) and Project Management (PM) at the University of Minho (associate professor with Habilitation). He is also a researcher at the ALGORITMI/LASI research center. Born and raised in Portugal, he attended the University of Minho, earning his Graduate (1995), Masters (1997), and Doctorate (2003) degrees in Technologies and Information Systems. In 2012, he received his Habilitation from the University of Trás-os-Montes e Alto Douro. His main research interests are IS PM, IS Development, and IS Management (addressing PM success and the success of projects). Before joining academia, he worked as an Information Technology (IT)/IS consultant, project manager, IS analyst, and software developer, for private companies and public institutions. He is the former director of several 1st, 2nd, and 3rd cycle degrees (e.g., Doctoral Program on Information Systems and Technology). He has taught/coordinated over 150 courses.
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Abstract: What does success truly mean in the realm of information systems projects? What are its defining facets? And when we talk about Success Management—what is it, and how can it be strategically implemented? These questions, along with many other related thought-provoking insights, will be at the heart of this keynote session.