Surgical Navigation in Orthopedics: Workflow and System Review

Ewurum, Chidozie H.; Guo, Yinbiao; Pagnha, Seang; Zhao, Feng; Luo, Xiangfeng

doi:10.1007/978-981-13-1396-7_4

Cited by 30 publications

(25 citation statements)

References 25 publications

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“…This new technology is also usable in open surgery [87], in simulation and training [88]. In addition to urological surgery [89], it is also used in hepatobiliary [90][91][92], otolaryngology [93,94] or orthopedic surgery [95]. Hung [54][55][56] has developed an interesting tool combining robotics and AI.…”

Section: Discussionmentioning

confidence: 99%

“…In distinguishing cancer from non-cancerous tissues: sensitivity of 89.85% and a specificity of95.83% and 100% with 91.46% accuracy and a specificity of 76.92% and accuracy 88.75% for distinguishing NS PCa from CS PCa. For classification between NS PCa vs. CS PCa in CG, the trained SMV algorithm in dataset A2 and validated in B2 had AUC of 0.91 (95% CI: 0.85, 0.95), with an accuracy of 84.1% and a sensitivity and specificity of 82.3% and 87.5% respectively.…”

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confidence: 99%

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The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

et al. 2020

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Artificial Intelligence (AI) is progressively remodeling our daily life. A large amount of information from “big data” now enables machines to perform predictions and improve our healthcare system. AI has the potential to reshape prostate cancer (PCa) management thanks to growing applications in the field. The purpose of this review is to provide a global overview of AI in PCa for urologists, pathologists, radiotherapists, and oncologists to consider future changes in their daily practice. A systematic review was performed, based on PubMed MEDLINE, Google Scholar, and DBLP databases for original studies published in English from January 2009 to January 2019 relevant to PCa, AI, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, and Natural-Language Processing. Only articles with full text accessible were considered. A total of 1008 articles were reviewed, and 48 articles were included. AI has potential applications in all fields of PCa management: analysis of genetic predispositions, diagnosis in imaging, and pathology to detect PCa or to differentiate between significant and non-significant PCa. AI also applies to PCa treatment, whether surgical intervention or radiotherapy, skills training, or assessment, to improve treatment modalities and outcome prediction. AI in PCa management has the potential to provide a useful role by predicting PCa more accurately, using a multiomic approach and risk-stratifying patients to provide personalized medicine.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

et al. 2020

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“…Frank et al reviewed nine shoulder‐facing and nine knee‐facing arthroscopy training systems and one hip‐facing arthroscopy training system 17 . In the literature, 18‐20 orthopaedic surgery navigation systems and the disadvantages and clinical benefits of these systems were reviewed, but detailed statistics on the currently used surgery navigation systems and major research indicators were not provided. Mavrogenis et al 18 reviewed 11 types of orthopaedic surgery, and we think that these types of surgery can be summarized by surgical site: spine, hip, and knee.…”

Section: Introductionmentioning

confidence: 99%

A review of computer‐assisted orthopaedic surgery systems

Wang

Shang

et al. 2020

Robotics Computer Surgery

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Background: Computer-assisted orthopaedic surgery systems have great potential, but no review has focused on computer-assisted surgery systems for the spine, hip, and knee. Methods: A systematic search was performed in Web of Science and PubMed. We searched the literature on computer-assisted orthopaedic surgery systems from 2008 to the present and focused on three aspects of systems: training, planning, and intraoperative navigation. Results and discussion: In this review study, we reviewed 34 surgical training systems, 31 surgical planning systems, and 41 surgical navigation systems. The functions and characteristics of the surgical systems were compared and analysed, and the current concerns about and the impact of the surgical systems on doctors and surgery were clarified. Conclusion: Computer-assisted orthopaedic surgery systems are still in the development stage. Future surgical training systems should include synthetic models with patient anatomy. Surgical planning systems with automatic planning should be developed, and surgical navigation systems with multimodal fusion, robotic assistance and imaging should be developed.

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Section: Introductionmentioning

confidence: 99%

“…Computer-assisted orthopedic surgery has gained increasing interest, especially in the last two decades (1), being employed for surgical planning, simulation, and navigation (2). Via navigation, which is the core element of computer-assisted orthopedic surgery systems, orthopedic surgeons could accurately track and intuitively visualize surgical instruments in real time, in relationship with anatomical structures (1). The human-machine interface, an integral part of image-guided orthopedic navigation systems, provides a platform to merge preoperative and intraoperative images from different modalities and three-dimensional models to facilitate operative planning and navigation (3).…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality in Orthopedics: Current State and Future Directions

2019

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Augmented reality (AR) comprises special hardware and software, which is used in order to offer computer-processed imaging data to the surgeon in real time, so that real-life objects are combined with computer-generated images. AR technology has recently gained increasing interest in the surgical practice. Preclinical research has provided substantial evidence that AR might be a useful tool for intra-operative guidance and decision-making. AR has been applied to a wide spectrum of orthopedic procedures, such as tumor resection, fracture fixation, arthroscopy, and component's alignment in total joint arthroplasty. The present study aimed to summarize the current state of the application of AR in orthopedics, in preclinical and clinical level, providing future directions and perspectives concerning potential further benefits from this technology.

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Surgical Navigation in Orthopedics: Workflow and System Review

Cited by 30 publications

References 25 publications

The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

A review of computer‐assisted orthopaedic surgery systems

Augmented Reality in Orthopedics: Current State and Future Directions

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