Vision is the central sense on which operators rely on when performing minimally invasive procedures. Therefore, augmenting the surgeon’s eye could enable safer and more precise procedures.

From an engineering perspective, surgery is still poorly quantifiable and highly operator dependent, leading to variable clinical outcomes. This lecture overviews the efforts undertaken in order to develop new optical technologies to help surgeons make better-informed decision in the OR. 

Human anatomy and physical behaviors of organs can be modeled for computer-based surgical training, planning and guidance. This lecture showcases the work performed to deliver diffuse, specialist cataract surgery training needed for the “Help Me See” project.

This lesson introduces basic concepts and common algorithms of Machine Learning.

In this lecture, Dr Hashimoto shares his special interest in AI supportive methods for surgical procedures. After a start focused on rigid surgery, AI more recently started to also apply to flexible endoscopy.

Hypes and hopes surround the future of robotics and artificial intelligence in surgery. While these fields seems close to impact our clinical work, there are a number of challenges to face in order to fully exploit their potential.

This lecture exemplifies the importance of multidisciplinary collaboration in medical innovation. Luisa De Cola, a material chemist, showcases her lab’s work towards better nanoparticles-enabled multimodal imaging and more efficient hydrogel-base drug delivery.

In this lecture, Dr Galvao Neto will describe how metabolic endoscopy helps in the treatment of what is defined by the WHO as Globesity and Diabesity.  

Prof. Giménez talks about the three biggest promises for the future of surgery: artificial intelligence (AI), robotics and imaging technologies. Drawing from other disciplines like aeronautics, he follows the changes that surgery has faced in the last 3 decades and shares his view for future.