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R. Moalic is a pioneering researcher in the field of medical image computing and computer-aided medical interventions (CAMI), with a specific focus on soft tissue applications in urology. Their work addresses the critical challenge of adapting surgical robotics and imaging techniques from rigid anatomical structures to deformable soft tissues, a complex problem that has historically limited the precision of minimally invasive procedures. Moalic’s most cited paper, "Medical Image Computing and Computer-Aided Medical Interventions Applied to Soft Tissues: Work in Progress in Urology" (2006, 15 citations), lays foundational groundwork for integrating real-time deformation modeling into surgical planning, particularly for prostate and renal interventions. This contribution has influenced subsequent advances in robotic-assisted surgery by highlighting the need for adaptive algorithms that account for tissue mobility. Additionally, Moalic explored the feasibility of outpatient robotic radical prostatectomy in their 2015 case study, pushing boundaries toward same-day discharge protocols in urologic surgery. While citation counts remain modest, Moalic’s work is notable for bridging computational imaging with clinical urology, offering early insights that continue to inform the development of safer, more effective soft-tissue interventions. Their research remains a valuable reference for scholars working at the intersection of medical robotics, image guidance, and deformable anatomy.