M. Jorge Cardoso

McGill University, King's College London

Papers

Total Citations

H-Index

About

M. Jorge Cardoso is a leading researcher at the intersection of medical imaging, artificial intelligence, and robotics, with a primary focus on advancing computer-assisted interventions and ophthalmic surgery. His work bridges the gap between deep learning and clinical practice, particularly in the domain of retinal therapies. Cardoso’s major contributions include pioneering the use of learned optical flow for intra-operative tracking of the retinal fundus, a critical innovation for enabling robotic systems to deliver regenerative therapies with sustained precision. His 2020 paper on this topic, which has garnered 12 citations, demonstrates how supervised deep convolutional neural networks can jointly predict semantic segmentation and optical flow, allowing for real-time, dense tracking during surgery. Additionally, his 2017 work on computer-assisted and robotic endoscopy (25 citations) has helped shape the field of clinical image-based procedures. Cardoso’s research is notable for its translational impact, directly addressing the challenges of autonomous surgical navigation and targeted drug delivery. His achievements highlight a commitment to developing robust, real-time AI solutions that enhance the safety and efficacy of minimally invasive interventions, making him a key figure in the future of robotic-assisted medicine.