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About

Kevin de Souza is an emerging orthopaedic research scientist specialising in robotic-assisted total knee arthroplasty (TKA) and surgical planning optimisation. His work sits at the intersection of biomechanics, medical imaging, and machine learning, with a particular focus on improving implant positioning outcomes for patients undergoing knee replacement surgery. De Souza's most influential contribution centres on the concept of pre-diseased state reconstruction — the idea that optimal TKA outcomes can be achieved by using pre-surgical data to recreate each patient's unique knee kinematics. His 2023 paper on pre-planning surgical targets has already garnered 19 citations, reflecting rapid uptake within the orthopaedic community. This work earned him recognition at the prestigious International Society for Technology in Arthroplasty (ISTA), where he received the ISTA Award 2023 for his continued development of this functional reconstruction framework. More recently, de Souza has expanded into artificial intelligence applications, developing machine learning pipelines for automatic implant size prediction from CT imaging — a step toward fully automated, patient-specific surgical planning. Collectively, his research signals a broader shift toward personalised, data-driven approaches in joint replacement surgery, positioning him as a notable contributor to next-generation orthopaedic technology.