Francesco Bosco
Papers
4
Total Citations
48
H-Index
4
About
Francesco Bosco is a leading orthopedic researcher whose work centers on advancing total knee arthroplasty (TKA) through robotic-assisted surgery. His primary research areas include surgical precision, learning curves, and postoperative complications in robotic TKA. Bosco’s major contributions include systematically defining the learning curve for robotic-assisted TKA, demonstrating that imageless robotic systems can achieve high accuracy while reducing soft tissue injury. His 2022 systematic review (21 citations) is a foundational reference for surgeons adopting this technology, while his 2025 study on imageless robotic TKA (15 citations) provides critical data on implant alignment and operative efficiency. Bosco has also investigated periprosthetic joint infection (PJI) in robotic TKA through a multicenter study (8 citations), clarifying that infection rates are comparable to conventional methods when protocols are followed. His work on mid-flexion instability (4 citations) offers new insights into a poorly understood cause of patient dissatisfaction, leveraging robotic data to propose diagnostic criteria. With a growing citation impact, Bosco’s research directly informs clinical practice, helping surgeons optimize outcomes and reduce complications. His studies are essential reading for anyone interested in the intersection of robotics and joint arthroplasty.
Research Focus
Key Achievements
Top Papers
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