Seminario 12 de Agosto 2025

INTERNATIONAL INVITED SPEAKER
ALBERTO GOMEZ

SHORT BIO: Born in Madrid, Spain, I obtained a BSc in Telecommunications from the Technical University of Madrid (2008), and an MSc in Biomedical Engineering from Telecom Bretagne and Universite de Rennes I (France, 2009). I joined General Electric Healthcare in Buc (France, 2007), working on electromagnetic navigated tools for interventional radiology, and Philips Research (Hamburg, Germany, 2009) working on model-based segmentation of the liver for radiotherapy. I received my PhD from King’s College London (UK, 2013), on 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). Between 2014 and 2022 I held different research positions at King's College London, leading projects in different aspects of computational ultrasound imaging including real time AI-enabled analysis of fetal ultrasound images; a three-dimensional virtual reality system for cardiac surgery planning; and real-time, AI-enabled support system for image analysis and interpretation in low resource ICUs with applications to cardiac, lung and muscle ultrasound imaging. Since February 2022, I joined Ultromics where I am Director of AI Research.

TITLE: "From academic research to AI medical devices in echocardiography"

ABSTRACT: In this talk, articulated around computational medical imaging (echocardiography in particular) I will discuss some key points that differentiate academic research form industry research that are instrumental for the innovations that support successful Ai-enabled medical devices that perform well in real-life scenarios. To this end, I will highlight some areas in the echocardiography image analysis pipeline that are often neglected in academic publications, and how and why from an industry perspective we have conducted research specifically oriented to cardiac disease detection in echocardiography.

iHEALTH SPEAKER
VERÓNICA MARÍN

SHORT BIO: Verónica Marín is a PhD Candidate in Engineering Sciences, Electrical Engineering area at Pontificia Universidad Católica de Chile. His research focuses on addressing the limitations of ultrasound for the treatment of lung diseases, given its strong dependence on the operator’s skill and experience

TITLE: “Ultrasound Quantification of Aeration in Collapsed Lungs”

ABSTRACT: Lung collapse, known as atelectasis, reduces aeration and lung volume resulting from the collapse of the alveoli. In ICU patients, the Alveolar Recruitment Manoeuvre is used for increasing intrapulmonary pressure to open collapsed alveoli, highlighting the need for real-time information on lung aeration. To address this need, lung ultrasound is an economical and non-invasive alternative that allows bedside evaluations, minimizing the risks associated with patient transfers. However, medical ultrasound is highly operator dependent. This research aims to develop a quantitative methodology for evaluation lung aeration using ultrasound imaging, to optimize the accuracy of the Alveolar Recruitment Manoeuvre in patients with lung collapse.

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