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DERI seminar with Alberto Gomez, Ultromics

When: Thursday, June 6, 2024, 11:00 AM - 12:00 PM
Where: Zoom

Speaker: Alberto Gomez, Artificial Intelligence and Hardware Lead at Ultromics

Zoom link: https://qmul-ac-uk.zoom.us/j/81148100921

Title: "Using AI sensibly to go from research to products"

Abstract: There is a huge amount of research on AI applied to healthcare. However, very little of this research actually makes it to successful and useful products. In this talk I reflect on the reasons why and provide a few pieces of insight learned from my own mistakes on two fronts: first, a personal view on sensible ways of approaching research in medical imaging; and second, the steps that seem to work for bringing that research into products that can make a positive impact in healthcare. 

Short bio: I was born in Madrid, Spain, where I attended the Technical University and graduated as Telecommunications Engineer (BEng, MEng) in 2008. I spent nearly 3 years in France (2006 to 2009), finishing my engineering studies (I graduated in 2009 from IMT Atlantique) with major in Biomedical Engineering. Taking a gap year, I spent one year (2007 - 2008) as an intern at General Electric Healthcare in Buc, working on electromagnetic navigated tools for interventional radiology. I also hold a MSc (2009) in signal and image processing (SISEA) jointly delivered with Université de Rennes I. I did my MSc thesis in Hamburg (Germany) with Philips Research on model-based segmentation of the liver for radiotherapy.

I moved to the UK to pursue a PhD at King’s College London at the end of 2009, and graduated in 2013. My PhD was an investigation of computational methods to extract 3D qualitative and quantitative flow information from multi-view colour Doppler ultrasound images of the heart, specifically for patients with hypoplastic left heart syndrome (HLHS), within the euHeart project. Since 2014 I have been a post-doctoral Research Associate and in 2016 I became a Research Fellow, in 2018 Senior Research Fellow, and in 2023 a Visiting Lecturer. During this time I have been working on multiple projects related to ultrasound imaging acquisition, computing and visualization for medical applications.

Since February 2022, I joined Ultromics where I am Artificial Intelligence and Hardware Lead, leading the AI and computer vision department working towards improving the use of echocardiography for early detection of treatable, life threatening cardiovascular disease. My current research interests include assisting less experienced operators in answering clinical questions using ultrasound more effectively, methodologies that allow time-scalable AI development, and the deployment of cutting-edge computational methods in developing countries.

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