Artificial intelligence in spine surgery

Benzakour, Ahmed; Lemée, Jean‐Michel; Ahmad, Alaaeldin Azmi; Mavrogenis, Andreas F.; Benzakour, Thami

doi:10.1007/s00264-022-05517-8

Cited by 36 publications

(20 citation statements)

References 90 publications

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“…Currently, CBT screws combined with robotic screw placement have become a safe and effective method with the advantages of precise screw insertion and minimal trauma [ 41 , 42 ]. In addition, emerging artificial intelligence (AI) technology plays an important role in solving many problems faced in spine surgery [ 43 ]. We strongly believe that the MCBT technique will be perfectly combined with robotics and AI in the near future.…”

Section: Discussionmentioning

confidence: 99%

Comparison of CT values in traditional trajectory, traditional cortical bone trajectory, and modified cortical bone trajectory

et al. 2022

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Background To compare the CT values and length of the screw tracks of traditional trajectory (TT), cortical bone trajectory (CBT), and modified cortical bone trajectory (MCBT) screws and investigate the effects on the biomechanics of lumbar fixation. Methods CT scan data of 60 L4 and L5 lumbar spine were retrieved and divided into 4 groups (10 male and 10 female cases in the 20–30 years old group and 20 male and 20 female cases in the 30–40 years old group). 3-dimentional (3D) model were established using Mimics 19.0 for each group and the placement of three techniques was simulated on the L4 and L5, and the part of the bone occupied by the screw track was set as the region of interest (ROI). The mean CT value and the actual length of the screw track were measured by Mimics 19.0. Results The CT values of ROI for the three techniques were significantly different between the same gander in each age group (P < 0.05). The difference of screw track lengths for CBT and MCBT in the male and female is significant (P < 0.05). Conclusions According to the CT values of the three screw tracks: MCBT > CBT > TT, the MCBT screw track has greater bone-screw surface strength and longer screw tracks than CBT, which is easier to reach the anterior column of the vertebral body contributing to superior biomechanical properties.

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Section: Discussionmentioning

confidence: 99%

Comparison of CT values in traditional trajectory, traditional cortical bone trajectory, and modified cortical bone trajectory

et al. 2022

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“…In other studies, it was demonstrated that combining AI imaging with robotic assistance increased pedicle screw placement accuracy from 96.9% to 100%. 16 Robots and AI models capable of assisting during surgery are shown to reduce intraoperative complications as well. A prospective cohort study conducted by Fan et al 17 demonstrated that robot-assisted minimally invasive surgery had screw placement acceptability of 97.3% while having a significantly reduced amount of intraoperative bleeding.…”

Section: Intraoperative Usementioning

confidence: 99%

Artificial Intelligence and Machine Learning in Spine Surgery

Wolf,

Kaul,

Anwar

et al. 2023

Contemporary Spine Surgery

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“…In addition, AI tools such as deep neural networks can be applied to predict surgery outcomes and postoperative complications. In particular, research was directed towards employing certain models that, based on a number of variables, could accurately predict spine infections [ 94 , 95 ].…”

Section: Emerging Treatment Strategiesmentioning

confidence: 99%

Current and Emerging Approaches for Spine Tumor Treatment

Costăchescu

Niculescu

Iliescu

et al. 2022

IJMS

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Spine tumors represent a significant social and medical problem, affecting the quality of life of thousands of patients and imposing a burden on healthcare systems worldwide. Encompassing a wide range of diseases, spine tumors require prompt multidisciplinary treatment strategies, being mainly approached through chemotherapy, radiotherapy, and surgical interventions, either alone or in various combinations. However, these conventional tactics exhibit a series of drawbacks (e.g., multidrug resistance, tumor recurrence, systemic adverse effects, invasiveness, formation of large bone defects) which limit their application and efficacy. Therefore, recent research focused on finding better treatment alternatives by utilizing modern technologies to overcome the challenges associated with conventional treatments. In this context, the present paper aims to describe the types of spine tumors and the most common current treatment alternatives, further detailing the recent developments in anticancer nanoformulations, personalized implants, and enhanced surgical techniques.

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Artificial intelligence in spine surgery

Cited by 36 publications

References 90 publications

Comparison of CT values in traditional trajectory, traditional cortical bone trajectory, and modified cortical bone trajectory

Comparison of CT values in traditional trajectory, traditional cortical bone trajectory, and modified cortical bone trajectory

Artificial Intelligence and Machine Learning in Spine Surgery

Current and Emerging Approaches for Spine Tumor Treatment

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