Post-doc In Surgical Data Science for Laparoscopic Surgery

The TIMC laboratory gathers scientists and clinicians towards the use of computer science and applied mathematics for understanding and controlling normal and pathological processes in biology and healthcare. This multi-disciplinary activity both contributes to the basic knowledge of those domains and to the development of systems for computer-assisted diagnosis and therapy.

The CAMI team (Computer Assisted Medical Interventions or GMCAO in French for Gestes Médico-Chirurgicaux Assistés par Ordinateur) has been pionneering the development of medical devices assisting medical interventions for more than three decades.

In France, the team’s name (CAMI) is a standalone research area. The first French surgical robot, developed by the team for stereotaxis neurosurgery, has been used for the first time in 1989 on a patient. The mentioned robot was also one of the first surgical robots worldwide. Since then, the team has always been innovating in scientific research as well as in clinical investigations. The constant need in quality of medical interventions and the ever-growing trend in minimally invasive surgery on ever-smaller targets, using early diagnosis are endlessly stimulating the team’s challenges.

Inspired by the clinical needs and immersed in the university hospital environment, we conduct research in medical image processing, data fusion, biomechanical modeling and simulation, as well as medical robotics. Based on the experience of three decades, our team develops translational research in close partnership with clinicians and specialists in clinical evaluation methods.

In order to benefit to patients and to the healthcare system in general, multiple results are transferred to industrial partners for use in routine medical applications. Further, several spin-offs have been created by our team. Spreading our research on a large scale allows evaluation with respect to the reality of clinical practices. In a virtuous manner, this approach feeds back our team with growing challenges to perform cutting-edge research.