[1] Veltri D M,Deng X H,Torzilli P A,et al.The role of the cruciate and posterolateral ligaments in stability of the knee[J].Am J Sports Med,1995,23(4):436-443.
[2] Lam M H,Fong D T,Yung P,et al.Knee stability assessment on anterior cruciate ligament injury: clinical and biomechanical approaches[J].Sports Med Arthrosc Rehabil Ther Technol,2009,1(1):20.
[3] Spindler K P,Wright R W.Anterior cruciate ligament tear[J].NEJM,2008,359(20):2135-2142.
[4] Aguero A D,Irrgang J J,Macgregor A J,et al.Sex,military occupation and rank are associated with risk of anterior cruciate ligament injury in tactical-athletes[J].BMJ Mil Health,2023,169(6):535-541.
[5] Wang L J,Zeng N,Yan Z P,et al.Post traumatic osteoarthritis following ACL injury[J].Arthrit Res Ther,2020, 22(1):57.
[6] Sun J,Wang L,Razmjooy N.Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm[J].Biomed Signal Process Control,2023,84:105019.
[7] Shantanu K,Singh S,Srivastava S,et al.The validation of clinical examination and MRI as a diagnostic tool for cruciate ligaments and meniscus injuries of the knee against diagnostic arthroscopy[J].Cureus,2021,13(6): e15727.
[8] Anz A W,Edison J,Denney T S,et al.3-T MRI mapping is a valid in vivo method of quantitatively evaluating the anterior cruciate ligament: rater reliability and comparison across age[J]Skeletal Radiol,2020,49(3):443-452.
[9] Mohankumar R,White L M,Naraghi A.Pitfalls and pearls in MRI of the knee[J].Am J Roentgenol,2014, 203(3):516-530.
[10] Chen X,Wang X,Zhang K,et al.Recent advances and clinical applications of deep learning in medical image analysis[J].Med Image Anal,2022,79:102444.
[11] Andriollo L,Picchi A,Sangaletti R,et al.The role of artificial intelligence in anterior cruciate ligament injuries: current concepts and future perspectives[J].Healthcare,2024,12(3):300.
[12] Almajalid R,Zhang M,Shan J.Fully automatic knee bone detection and segmentation on three-dimensional MRI[J].Diagn,2022,12(1):123.
[13] Chaki J,Woźniak M.A deep learning based four-fold approach to classify brain MRI:BTSCNet[J].Biomed Signal Process Control,2023,85:104902.
[14] Nguyen K H T,Thuan P N,Quang H K,et al.Prediction of anterior cruciate ligament injury from MRI using deep learning[C]//SPIE. International Forum on Medical Imaging in Asia 2021. Taipei: 2021:117920F.
[15] Tamimi I,Ballesteros J,Lara A P,et al.A prediction model for primary anterior cruciate ligament injury using artificial intelligence[J].Orthop J Sports Med,2021,9(9):23259671211027543.
[16] Taborri J,Molinaro L,Santospagnuolo A,et al.A machine-learning approach to measure the anterior cruciate ligament injury risk in female basketball players[J].Sensors,2021,21(9):3141.
[17] Tran A,Lassalle L,Zille P,et al.Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation[J].Euro Radiol,2022,32(12): 8394-8403.
[18] Li Z,Ren S, Zhou R,et al.Deep learning-based magnetic resonance imaging image features for diagnosis of anterior cruciate ligament injury[J]. J Healthc Eng,2021,2021:4076175.
[19] Jeon Y,Yoshino K,Hagiwara S,et al.Interpretable and lightweight 3-D deep learning model for automated ACL diagnosis[J].IEEE J Bio Heal Info,2021,25(7):2388-2397.
[20] Astuto B,Flament I,Namiri N K,et al.Erratum: automatic deep learning-assisted detection and grading of abnormalities in knee MRI studies[J].Radiol Artif Intell,2021,3(3):219001.
[21] Wang X, Wu Y, Li J,et al.Deep learning-assisted automatic diagnosis of anterior cruciate ligament tear in knee magnetic resonance images[J].Tomography,2024,10(8):1263-1276.
[22] Liu F,Guan B,Zhou Z,et al.Fully automated diagnosis of anterior cruciate ligament tears on knee MR images by using deep learning[J].Radiol Artif Intell,2019,1(3):180091.
[23] Richardson M L.MR protocol optimization with deep learning: a proof of concept[J].Curr Probl Diagn Radiol,2021,50(2):168-174.
[24] Namiri N K,Flament I,Astuto B,et al.Deep learning for hierarchical severity staging of anterior cruciate ligament injuries from MRI[J]. Radiol Artif Intell,2020,2(4):190207.
[25] Dung N T,Thuan N H,Dung T,et al.End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI[J].Diagn Interv Imaging,2023,104(3):133-141.
[26] Awan M J,Rahim M S,Salim N,et al.Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging[J].J Pers Med,2021,11(11):1163.
[27] Awan M J,Rahim M S,Salim N,et al.Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach[J].Diagn,2021,11(1):105.
[28] Xue Y,Yang S,Sun W,et al.Approaching expert-level accuracy for differentiating ACL tear types on MRI with deep learning[J].Sci Rep,2024,14(1):938.
[29] Hong I S,Pierpoint L A,Hellwinkel J E,et al.Clinical outcomes after acl reconstruction in soccer (football, futbol) players: a systematic review and meta-analysis[J].Sports Health,2023,15(6):788-804.
[30] Liu Y, Li C, Ma N,et al.Proprioceptive and clinical outcomes after remnant preserved anterior cruciate ligament reconstruction: assessment with minimal confounding factors[J].Orthop Surg,2022,14(1): 44-54.
[31] Zhu K,Chen Y,Ouyang X,et al.Fully RNN for knee ligament tear classification and localization in MRI scans[J].J Electron Imaging,2022,34:221-227
[32] Awan M J,Mohd Rahim M S,Salim N,et al.MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images[J].Peer J Computer Sci,2023,9: e1483.
[33] 于浩淼,董继祥,李海鹏,等.基于人工智能深度学习的CT-MRI多模态影像自动融合分割技术在前交叉韧带重建术前规划中的应用[J].中华骨与关节外科杂志,2025,18(1):27-35.