In the last decade, the processing and analysis of medical images and signals has undergone a radical transformation thanks to multimodal artificial intelligence. The convergence of computer vision techniques, biomedical signal analysis and foundational models has opened a new horizon in personalized diagnosis and predictive medicine. Today, it's not just about interpreting an X-ray or an electrocardiogram: the key is to integrate multiple sources of information, radiological images, digital biopsies, electrophysiological records and clinical data, into a unified ecosystem that allows more accurate and reliable medical decisions. This conference will explore how advanced architectures, such as transformers multimodal and generative networks are revolutionizing clinical practice, from the early detection of tumors to the characterization of neurodegenerative diseases. The role of interpretability (XAI) as an indispensable requirement for the safe adoption of these technologies will be addressed, as well as the regulatory and ethical challenges that accompany their implementation. In addition, the impact of these innovations on telemedicine and the reduction of global inequalities will be highlighted, with special emphasis on how developing countries, such as Cuba, can take advantage of these tools to strengthen their health systems. The talk will offer a strategic vision on the future of medical image and signal processing, underlining the importance of international collaboration, standardization and interdisciplinary research to move towards a more humane, accurate and accessible medicine.
Sc.D. Alberto Taboada Crispi
Country: Cuba
Graduated as an Electronic Engineer (UCLV, 1985), Master in Electronics (UCLV, 1997) and Doctor in Technical Sciences (PhD, UNB, Canada, 2002). He is currently a Full Professor and Full Researcher at the Laboratory of Image and Signal Processing and Analysis (PAIS), at the Computer Science Research Center (CII), School of Mathematics, Physics and Computer Science (FMFC), of the Central University “Marta Abreu” of Las Villas (UCLV), Cuba. Previously, he was Director of the Center for Electronics and Information Technology Studies (CEETI/UCLV) from 2002 to 2004 and from 2009 to 2015, Professor of Protocol at the University of Electronic Science and Technology of China (UESTC, China) between 2016 and 2017, Deputy Director of the Computer Science Research Center (CII/UCLV) from 2018 to 2022 and Vice Dean of Research and Postgraduate Studies at the Faculty of Mathematics, Physics and Computing (FMFC/UCLV) from 2022 to 2024.
His research has been mainly focused on the processing and analysis of images and signals, especially for health applications. On these topics, he has coordinated numerous national and international projects, has 3 granted patents, 10 software registrations and more than 200 works in event reports, 70 publications in high-impact refereed journals (groups 1 and 2) and 10 monographs or book chapters. In addition, he has been a reviewer of hundreds of papers at international group 1 events and dozens of articles sent to group 1 journals from prestigious publishing houses. He has been Coordinator of Master's Programs such as Signals and Systems, accredited of Excellence, and Biomedical Engineering (UNEFM, Venezuela); Coordinator of the Pharmacy and Medical Equipment Group of the Villa Clara Scientific-Productive Pole, Member of the Expert Group of Territorial and National Programs on Information Technologies and Health. He has received 6 National Awards from the Cuban Academy of Sciences, 3 Special Distinctions from the Minister of Higher Education and 4 Annual Health Awards at the national instance, the Carlos J Finlay Order and the Juan Tomás Roig Distinction, has been 4 times National Vanguard of the SNTECD/SNTC, among many other national and international awards and distinctions.
