Pouria Rouzrokh
Papers
1
Total Citations
16
H-Index
1
About
Pouria Rouzrokh is a pioneering researcher at the intersection of orthopedic surgery and artificial intelligence, with a primary focus on developing deep learning solutions for personalized surgical planning and execution. His most notable contribution is THA-Net, a groundbreaking deep learning framework for total hip arthroplasty templating that enables patient-specific surgical execution. This work, published in 2023, has already garnered 16 citations, reflecting its immediate impact on the field. Rouzrokh's research addresses critical challenges in orthopedic surgery by leveraging AI to improve preoperative planning accuracy and intraoperative guidance, ultimately enhancing patient outcomes. His work exemplifies the growing trend of integrating computational methods into surgical practice, offering a glimpse into the future of precision medicine in orthopedics. By combining technical rigor with clinical relevance, Rouzrokh has established himself as a key figure in the emerging field of AI-assisted orthopedic surgery, with his contributions poised to influence both research and clinical practice for years to come.
Research Focus
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Top Papers
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