Bertolino Luca, Ranzini Marta Bianca Maria, Favaro Alberto, Bardi Elena, Ronzoni Flavio Lorenzo, Bonanzinga Tommaso
IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy.
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy.
Medicina (Kaunas). 2025 Apr 16;61(4):737. doi: 10.3390/medicina61040737.
: This scoping review explores the current state of the art of AI-based applications in the field of orthopedics, focusing on its implementation in diagnostic imaging and preoperative planning of knee joint procedures. : The search was carried out using the recognized scholarly databases PubMed, Medline and Embase and was set to identify original research addressing AI applied to imaging in knee diagnosis and surgical planning, written in English and published up to January 2025. : The search produced 1612 papers, of which 36 were included in our review. All papers addressed AI applied to common imaging methods in clinical practice. Of these, thirty integrated AI-based tools with X-rays, one applied AI to X-rays to produce CT-like 3D reproductions, and two studies applied AI to MRI. Several AI tools have already been validated for enhancing the accuracy of measurements and detecting additional parameters in a shorter time compared to standard assessments. We expect these may soon be introduced into routine clinical practice to streamline a number of technical tasks and in some cases to replace the need for human intervention.
本综述探讨了骨科领域基于人工智能的应用的当前技术水平，重点关注其在膝关节手术的诊断成像和术前规划中的应用。检索使用了公认的学术数据库PubMed、Medline和Embase，旨在识别以英文撰写并截至2025年1月发表的关于人工智能应用于膝关节诊断成像和手术规划的原创研究。检索产生了1612篇论文，其中36篇纳入了我们的综述。所有论文都涉及人工智能在临床实践中应用于常见成像方法。其中，30篇将基于人工智能的工具与X射线相结合，1篇将人工智能应用于X射线以生成类似CT的三维再现，2项研究将人工智能应用于MRI。与标准评估相比，一些人工智能工具已经得到验证，可提高测量准确性并在更短时间内检测额外参数。我们预计这些工具可能很快会被引入常规临床实践，以简化一些技术任务，在某些情况下还可取代人工干预的需求。
