Adida S, Legarreta AD, Hudson JS et al (2024) Machine learning in spine surgery: a narrative review. Neurosurgery 94(1):53–64. https://doi.org/10.1227/neu.0000000000002660

Article  PubMed  Google Scholar 

Aghaloo T, Hadaya D, Schoenbaum TR, Pratt L, Favagehi M (2023) Guided and navigation implant surgery: a systematic review. Int J Oral Maxillofac Implants. https://doi.org/10.11607/jomi.10465

Article  PubMed  Google Scholar 

Ahmad AAK, Tehan PE, Hopson AM, Roberts EG, Rose AJ (2025) Evaluation of ehealth interventions to prevent pressure injuries: a scoping review. Int Wound J 22(7):e70680

Article  PubMed  PubMed Central  Google Scholar 

Ahmadi M, Biswas D, Paul R, Lin M, Tang Y, Cheema TS et al (2025) Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine. N Am Spine Soc J (NASSJ) 22:100598

Article  PubMed  Google Scholar 

Ahmadian H, Mageswaran P, Walter BA et al (2022) Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response. Int J Numer Methods Biomed Eng 38(6):e3601. https://doi.org/10.1002/cnm.3601

Article  Google Scholar 

Ahmadnia F, Almohammad E (2024) The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review. Patient Saf Surg 18:11

Article  Google Scholar 

Akkari S, De Maestro RF, McDonald T (2024) Unveiling surgical expertise through machine learning in a novel VR/AR spinal simulator. Comput Biol Med 179:108809

Article  Google Scholar 

Alassaf A, AlMohimeed I, Alghannam M et al (2024) Time-dependent biomechanical evaluation for corrective planning of scoliosis using finite element analysis—a comprehensive approach. Heliyon 10(5):e26946. https://doi.org/10.1016/j.heliyon.2024.e26946

Article  PubMed  PubMed Central  Google Scholar 

Almekkawi AK, Caruso JP, Anand S, Hawkins AM, Rauf R, Al-Shaikhli M et al (2025) Comparative analysis of large language models and spine surgeons in surgical decision-making and radiological assessment for spine pathologies. World Neurosurg 194:123531

Article  PubMed  Google Scholar 

Al-Shalawi FD, Mohamed Ariff AH, Jung DW, Mohd Ariffin MKA, Seng Kim CL, Brabazon D, Al-Osaimi MO (2023) Biomaterials as implants in the orthopedic field for regenerative medicine: metal versus synthetic polymers. Polymers 15(12):2601

Alvi MA, Kwon BK, Hejrati N, Tetreault LA, Evaniew N, Skelly AC, Fehlings MG (2024) Accuracy of intraoperative neuromonitoring in the diagnosis of intraoperative neurological decline in the setting of spinal surgery—a systematic review and meta-analysis. Glob Spine J 14(3_suppl):105S-149S

Article  Google Scholar 

Ao Y, Esfandiari H, Carrillo F et al (2025) SafeRPlan: safe deep reinforcement learning for intraoperative planning of pedicle screw placement. Med Image Anal 99:103345. https://doi.org/10.1016/j.media.2025.103345

Article  PubMed  Google Scholar 

Atad M, Gruber G, Ribeiro M et al (2025) Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: a case study on an intervertebral disc. Comput Methods Programs Biomed 186:109646. https://doi.org/10.1016/j.compbiomed.2024.109646

Article  Google Scholar 

Aziz R, Jawed F, Khan SA, Sundus H (2024) Wearable IoT devices in rehabilitation: enabling personalized precision medicine. Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry. IGI global, London, pp 281–308

Chapter  Google Scholar 

Barreto D, Domi A, Gan E et al (2024) Optimizing preoperative decision-making for spinal degeneration: automated segmentation and finite element analysis to evaluate bone quality. Spine J 24(9 Suppl):S87–S88

Article  Google Scholar 

Benzakour A, Altsitzioglou P, Lemée JM et al (2023) Artificial intelligence in spine surgery. Int Orthop 47(2):457–465. https://doi.org/10.1007/s00264-022-05517-8

Article  PubMed  Google Scholar 

Berg B, Gorosito MA, Fjeld O et al (2024) Machine learning models for predicting disability and pain following lumbar disc herniation surgery. JAMA Netw Open 7(2):e2355024. https://doi.org/10.1001/jamanetworkopen.2023.55024

Article  PubMed  PubMed Central  Google Scholar 

Bhimreddy M, Jiang K, Weber-Levine C, Theodore N (2024) Computational modeling, augmented reality, and artificial intelligence in spine surgery. Adv Exp Med Biol 1462:453–464

Article  PubMed  Google Scholar 

Biswas S, McMenemy L, Sarkar V, MacArthur J, Snowdon E, Tetlow C, George KJ (2023) Natural language processing for the automated detection of intra-operative elements in lumbar spine surgery. Front Surg 10:1271775

Article  PubMed  PubMed Central  Google Scholar 

Boltaboyeva A, Baigarayeva Z, Imanbek B, Ozhikenov K, Getahun AJ, Aidarova T, Karymsakova N (2025) A review of innovative medical rehabilitation systems with scalable AI-assisted platforms for sensor-based recovery monitoring. Appl Sci 15(12):6840

Article  CAS  Google Scholar 

Bui T, Ruiz-Cardozo MA, Dave HS et al (2024) Virtual, augmented, and mixed reality applications for surgical rehearsal, operative execution, and patient education in spine surgery: a scoping review. Medicina (Kaunas) 60(2):295. https://doi.org/10.3390/medicina60020295

Article  Google Scholar 

Burns JE, Yao J, Summers RM (2016) Vertebral body compression fractures and bone density: automated detection and classification on CT images. Radiology 280(2):584–594. https://doi.org/10.1148/radiol.2016152103

Article  Google Scholar 

Burstrom G, El-Hajj VG, Edstrom E, Elmi-Terander A (2023) Machine learning for automated assessment of pedicle screw placement in spine surgery: a systematic review and meta-analysis. Spine J 23(9):1281–1292. https://doi.org/10.1016/j.spinee.2023.04.012

Article  Google Scholar 

Calabrò RS, Calderone A, Fiorente N (2025) Neurosciences and sports rehabilitation in ACLR: a narrative review on winning alliance strategies and connecting the dots. J Funct Morphol Kinesiol 10(2):119

Article  PubMed  PubMed Central  Google Scholar 

Caprara S, Carrillo F, Snedeker JG, Farshad M, Senteler M (2021) Automated pipeline to generate anatomically accurate patient-specific biomechanical models of healthy and pathological FSUs. Front Bioeng Biotechnol 9:636953. https://doi.org/10.3389/fbioe.2021.636953

Article  PubMed  PubMed Central  Google Scholar 

Caprara S, Fasser MR, Spirig JM, Widmer J, Snedeker JG, Farshad M, Senteler M (2022) Bone density optimized pedicle screw instrumentation improves screw pull-out force in lumbar vertebrae. Comput Methods Biomech Biomed Eng 25(4):464–474

Castrisos G, Matheus IG, Sparks D, Lowe M, Ward N, Sehu M, ..., Wagels M (2022) Regenerative matching axial vascularisation of absorbable 3D-printed scaffold for large bone defects: A first in human series. J Plastic Reconstrct Aesthetic Surg 75(7):2108–2118

Chan TJ, Long C, Wang E, Prisman E (2022) The state of virtual surgical planning in maxillary reconstruction: a systematic review. Oral Oncol 133:106058

Article  PubMed  Google Scholar 

Charles YP, Lamas V, Ntilikina Y (2023) Artificial intelligence and treatment algorithms in spine surgery. Orthop Traumatol Surg Res 109(1S):103456. https://doi.org/10.1016/j.otsr.2022.103456

Article  PubMed  Google Scholar 

Cheng M, Zhu Y, Liu Q, Shen S, Qian Y, Yu H (2022) Efficacy of surgical navigation in zygomaticomaxillary complex fractures: randomized controlled trial. Int J Oral Maxillofac Surg 51(9):1180–1187

Article  CAS  PubMed  Google Scholar 

De Filippis R, Foysal AI et al (2024) Harnessing the power of artificial intelligence in neuromuscular disease rehabilitation: a comprehensive review and algorithmic approach. Adv Biosci Biotechnol 15:289–309

Article  Google Scholar 

de Geer AF, de Koning SB, van Alphen MJA, Van der Mierden S, Zuur CL, Van Leeuwen FWB et al (2022) Registration methods for surgical navigation of the mandible: a systematic review. Int J Oral Maxillofac Surg 51(10):1318–1329

Article  PubMed  Google Scholar 

Dong R, Cheng X, Kang M, Qu Y (2024) Classification of lumbar spine disorders using large language models and MRI segmentation. BMC Med Inform Decis Mak 24(1):343

Article  PubMed  PubMed Central  Google Scholar 

Douglelis J, Lin M, Lee W, Aghayev K, Papanastassiou ID, Tsai CT (2023) Inter-specimen analysis of diverse finite element models of the lumbar spine. Bioengineering 11:24

Article  Google Scholar 

Eng E, Mowers C, Sachdev D, Yerke-Hansen P, Jackson GR, Knapik DM, Sabesan VJ (2025) Chat generative pre-trained transformer (ChatGPT)–3.5 responses require advanced readability for the general population and may not effectively supplement patient-related information provided by the treating surgeon regarding common questions about rotator cuff repair. Arthrosc J Arthrosc Relat Surg 41(1):42–52

Article  Google Scholar 

Esfahani PR, Guirgus M, Maalouf M, Mazboudi P, Reddy AJ, Sarsour RO, Hassan SS (2023) Development of a machine learning-based model for accurate detection and classification of cervical spine fractures using CT imaging. Cureus 15(10):e47328

Google Scholar 

Fabijan A, Zawadzka-Fabijan A, Fabijan R (2024) Artificial intelligence in medical imaging: analyzing the performance of ChatGPT and Microsoft Bing in scoliosis detection and Cobb angle assessment. Diagnostics. https://doi.org/10.3390/diagnostics14070773

Article  PubMed