ReviewFrontiers in surgery2026
Intelligent treatment strategies for knee cartilage injury repair.
Review in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knee cartilage injury, a prevalent clinical condition leading to pain and functional impairment, presents significant challenges for complete restoration due to the tissue's limited regenerative capacity. This narrative review examines the paradigm shift towards intelligent treatment strategies encompassing the entire patient journey, from preoperative planning to postoperative rehabilitation. We detail the application of advanced surgical navigation systems (e.g., Holoknee), robotic assistance, and artificial intelligence (AI) in enhancing the precision of diagnostic assessment, surgical execution, and personalized planning based on the International Cartilage Repair Society (ICRS) classification. Furthermore, we evaluate the role of intelligent rehabilitation equipment, wearable sensors, and telemonitoring systems in facilitating real-time feedback, improving adherence, and optimizing functional recovery remotely. The synthesis of evidence indicates that integrating intelligent technologies with established surgical techniques-such as microfracture, autologous chondrocyte implantation (ACI), matrix-assisted chondrocyte implantation (MACI), and mesenchymal stem cell (MSC) therapies-can significantly improve surgical accuracy, reduce complications, and streamline rehabilitation. This review concludes that the future of knee cartilage repair lies in a holistic, data-driven, and personalized approach, where intelligent systems bridge the gap between innovative surgical repair and effective long-term functional restoration, although further standardization and clinical validation are required.
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