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Title: Advancements and Challenges in Integrating Artificial Intelligence in Image Processing in a clinical setting
Abstract: Artificial intelligence (AI) has become a research topic of significant importance in recent years, with one of its crucial applications in the clinical realm is the processing of medical images. However, the translation of these methods into clinical environments remains a challenge, as their integration in the point-of-care is not straighforward. Additionally, challenges arise in adapting these solutions to the required timeframes and infrastructures prevalent in hospitals, which often differ from those in research centers. This talk presents the ongoing projects addressing these challenges within our hospital. Insights into practical implementations and outcomes will be provided, showcasing the integration of AI into clinical workflows. These projects not only serve as examples of successful integration but also highlight the collaborative efforts between engineers and clinical practitioners.
Speaker: César Acebes, Hospital de la Santa Creu i San Pau, Barcelona (Catalonia)
Biography: César Acebes is a biomedical engineer specialized in computational biomedical engineering. Beginning in 2021, he has served as an engineer and co-founder of the Advanced Virtual Planning Department (Dimension Lab) at the Hospital de la Santa Creu i Sant Pau in Barcelona.
Specializing in image processing and 3D anatomical modeling for medical procedure planning, he also leads teaching and AI research in clinical data processing. His research line focuses on integrating AI in cardiology and vascular pathology workflows, including automated image processing and report generation. César has also supervised academic projects, and spoken at national and international conferences.