Ahmed Khalifa

Papers

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About

Dr. Ahmed Khalifa is pioneering the integration of artificial intelligence into orthopedic surgery, with a focused mission to transform surgical precision from the planning room to the operating table. His work centers on AI-enhanced surgical decision-making, where he develops intelligent systems that assist clinicians in preoperative planning, intraoperative guidance, and real-time adaptive responses. His most cited review, "AI-Enhanced Surgical Decision-Making in Orthopedics," has already garnered early attention with 4 citations, reflecting the growing urgency of his research. Dr. Khalifa’s major contributions include advancing AI-driven imaging analysis and anatomical segmentation, enabling more accurate implant positioning and safer surgical outcomes. By bridging the gap between machine learning and clinical practice, he is helping to lay the groundwork for a new era of data-informed, adaptive orthopedic care. His work is particularly notable for its emphasis on real-time adaptation—a critical step toward truly responsive surgical systems. As the field rapidly evolves, Dr. Khalifa’s research stands at the forefront, promising to reshape how surgeons plan, execute, and refine complex procedures.