Orthopaedic Surgeon, Founder INOV8 Orthopedics, Houston, Texas, USA

Stefan Kreuzer is a high-volume hip and knee arthroplasty surgeon based in Houston, Texas, and the founder of INOV8 Orthopedics—a surgical technology and innovation company. He occupies a distinctive position in the AI conversation as a high-volume, technology-forward private practice surgeon who evaluates every new technology through a single lens: does it actually work in my operating theatre tomorrow?

Kreuzer was an early adopter of computer-assisted surgery and robotic joint replacement, performing significant volumes with active robotic systems including the TSolution One. This is important context: he has already spent years working in an algorithm-augmented surgical environment, navigating the integration of preoperative planning software, intraoperative guidance, and execution algorithms into real clinical workflows. He is not speculating about technology—he has lived through its adoption curve.

His practice design around ambulatory surgery centres, efficiency optimisation, and workflow development gives him a sharply practical perspective on the economics of surgical innovation. He understands throughput, theatre time, capital cost, team training, and the learning curves that new technology demands. He has also developed positioning systems and workflow tools, giving him insight into how devices interact with clinical infrastructure.

Kreuzer is pro-innovation but not naïvely so. He is consistent in acknowledging that no technology is perfect, and his strongest contribution to an AI programme is as a reality check: articulating what actually improves outcomes, what creates workflow friction, what costs are justified by measurable benefit, and where the promise of AI has not yet matched the reality.

 Vipin Asopa, PhD FRCS(Orth)

  

Consultant Orthopaedic Surgeon | South West London Elective Orthopaedic Centre (SWLEOC), UK

Vipin Asopa is a consultant hip and knee arthroplasty surgeon at the South West London Elective Orthopaedic Centre (SWLEOC) and one of the United Kingdom's leading clinical voices on artificial intelligence in orthopaedics. He holds a PhD in cartilage biology and serves as Audit and Quality Improvement Lead at SWLEOC, a role that has placed him at the interface of clinical outcomes data and digital transformation.

Asopa is an NHS Topol Digital Fellow—a prestigious national programme that selects clinicians to lead AI and digital health innovation across the NHS. This background positions him not as a theorist but as an active implementer: he runs AI research, works with real patient datasets, and navigates the practical complexities of deploying machine learning tools in a busy tertiary arthroplasty unit.

His research focuses on predictive AI in arthroplasty, including radiograph-based machine learning to detect early aseptic loosening of total hip replacements—work that moves from retrospective detection towards genuine prospective risk stratification. He has co-authored widely used clinical overviews of AI in trauma and orthopaedics, organising the field into accessible domains: computer vision (imaging and fracture detection), predictive analytics (outcomes and failure prediction), and natural language processing (reports and decision support).