The Santander Biomedical Lectures program, organized by the Marqués de Valdecilla Research Institute (IDIVAL), held a new session featuring Sylvain Gioux, Director of Imaging Research at Intuitive Surgical, who delivered the lecture Advanced imaging and digital insights for robotics surgery. During his presentation, Gioux discussed the technological advances that are transforming robotic surgery through new imaging techniques, advanced data processing, and artificial intelligence applied to the surgical environment.
Gioux, an international expert in real-time optical imaging for surgical guidance, emphasized the need to accelerate biomedical innovation to address clinical challenges associated with late diagnoses, complex procedures, and variable outcomes across different pathologies. In this context, he explained how robotic surgery is evolving toward increasingly precise and less invasive models, aimed at improving clinical outcomes, patient experience, and the efficiency of healthcare systems.
Holding a PhD in Biomedical Engineering from Boston University and with research experience at institutions such as Beth Israel Deaconess Medical Center, Harvard, and the University of Strasbourg, Gioux reviewed several emerging technologies with high potential for clinical impact, particularly those related to advanced visualization during surgery.
Advanced Imaging and Artificial Intelligence to Enhance Surgical Precision
One of the main focuses of the lecture was the development of new intraoperative imaging modalities capable of helping surgeons identify complex anatomical structures, differentiate tissues, or locate tumors with greater precision. Gioux highlighted the potential of fluorescence imaging and contrast agents designed to visualize elements that are difficult to identify during surgery—such as ureters, nerves, or tumor tissue—with the aim of reducing complications and improving surgical accuracy.
He also addressed the progress of emerging technologies such as multispectral and hyperspectral imaging, which analyze subtle variations in light reflected by tissues to obtain real-time functional information—such as oxygenation levels or tissue characteristics—without the need for external contrast agents. As he explained, these capabilities require high‑performance processing systems capable of analyzing large volumes of data during surgery.
The lecture also highlighted the role of artificial intelligence and machine learning in the analysis of surgical data. Gioux explained that integrating video, instrument motion, and robotic system events makes it possible to generate objective performance indicators, support surgical training, and improve clinical decision‑making, paving the way for more personalized, safer, and more effective procedures.
