Levi Reina Fernandes
Papers
1
Total Citations
17
H-Index
1
About
Levi Reina Fernandes is a leading researcher at the intersection of artificial intelligence and orthopedic surgery, with a primary focus on total knee arthroplasty (TKA). His most cited work, published in 2022, introduces a novel AI algorithm that converts two-dimensional radiographs into three-dimensional bone models for TKA planning. This contribution addresses a critical challenge in preoperative imaging—reducing reliance on costly CT scans while maintaining surgical accuracy. Fernandes’s study demonstrated exceptional reliability and repeatability, earning 17 citations and establishing a new benchmark for AI-assisted surgical workflows. Beyond this, his research explores the broader integration of machine learning into musculoskeletal imaging, aiming to enhance surgical precision and patient outcomes. By bridging computational methods with clinical practice, Fernandes has positioned himself as a key figure in the digital transformation of orthopedics. His work not only advances technical capabilities but also promises to make personalized joint replacement more accessible and cost-effective, marking a significant step toward data-driven, patient-specific orthopedic care.
Research Focus
Key Achievements
Top Papers
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