A review of advances in image-guided orthopedic surgery

Fan, Xingqi; Zhu, Qiyang; Tu, Puxun; Joskowicz, Leo; Chen, Xiaojun

doi:10.1088/1361-6560/acaae9

Cited by 14 publications

(3 citation statements)

References 149 publications

(125 reference statements)

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“…In particular AI algorithms identify and track instruments, measure distances and angles, and highlight critical anatomical structures [35]. This helps surgeons make more precise and accurate cuts, reduce the risk of complications, and improve patient outcomes [36].…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

Capes,

Patel,

Sarhan

et al. 2024

IIM

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ChatGPT has obvious benefits in the way it can interrogate vast amounts of reference information and utilise metadata generation to answer questions posed to it and is freely available having been developed through human feedback. Already there are ethical and practical implications on its impact on learning and research. Artificial Intelligence (AI) has been seen as a way of improving healthcare provision by delivering more robust outcomes but measuring these and implementing AI within this setting is at present limited and disjointed. Methods: ChatGPT was interrogated to see what it felt were the barriers to its implementation within healthcare and in particular orthopaedic practice. The evidence for this determination was then examined for validity and applicability for a practical roll out at a Trust, Regional or National level. Results: AI can synthesise a vast amount of information to help it answer specific questions. The context and structure of any question will determine the usefulness of the answer which can then be used to develop practical solutions based on experience and resource limitations. Conclusions: AI has a role in service development and can quickly focus a working group to areas to consider when practically implementing change.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

Capes,

Patel,

Sarhan

et al. 2024

IIM

View full text Add to dashboard Cite

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“…One of the most significant advantages of using AI in surgery is its real-time assistance during operations. Augmented reality and surgical robots, guided by AI algorithms, can assist surgeons, providing precise and steady movements, and minimizing possible errors [8].…”

Section: Assistance In the Operating Roommentioning

confidence: 99%

Revolutionizing patient care: the harmonious blend of artificial intelligence and surgical tradition

Stark

2024

Int J Clin Exp Pathol

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Surgery has undergone remarkable evolution over the past decades, propelled by unprecedented technological advancement. Despite these changes, the role of surgeons and their irreplaceable qualities remains pivotal. This article delves into the intersection of surgery and artificial intelligence (AI), underscoring the enduring significance of human expertise and values. The potential of AI to learn and improve over time holds great promise for enhancing various facets of surgery, including diagnostics, personalized treatment, preoperative planning, real-time support in the operating room, and comprehensive postoperative analytics of the outcome. However, it is essential to emphasize the continued importance of the surgeon's role to uphold universal surgical principles. This includes a commitment to minimalism and the use of evidence-based practice, ensuring optimal outcomes and standardized procedures. By recognizing the synergies between AI and traditional surgical approaches, we can navigate the evolving landscape of surgery to achieve the highest standards of patient care.

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“…The current robotic surgery has already played an important role in preoperative planning, intraoperative calibration and navigation (5). Spine-related robotic surgery mainly focused on spinal fusion and instrumentation procedures, and others have tried some complicate tasks such as vertebroplasties, tumor resections and ablations, deformity correction (6), and stabilizing tubular retractors (7).…”

Section: Introduction and Rationalementioning

confidence: 99%

Protocol for semantic segmentation of spinal endoscopic instruments and anatomic structures : how far is robotic endoscopy surgery?

Fan,

Yue,

et al. 2024

Preprint

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Background: Automatic anlysis of endoscopic images will played an important role in the future spine robotic surgery. The study is designed as a translational study to develop AI models of semantic segmentation for spinal endoscopic instruments and anatomic structures. The aim is to provide the visual understanding basis of endoscopic images for future intelligent robotic surgery. Methods: An estimate of 500 cases of endoscopic video will be included in the study. More data may also be included from the internet for external validation. Video clip containing typical spinal endoscopic instruments and distinct anatomic structures will be extracted. Typical spinal endoscopic instruments will include forceps, bipolar electrocoagulation, drill and so on. Endoscopic anatomic structures will include ligament, upper lamina, lower lamina, nerve root, disc, adipofascia, etc. The ratio of training, validation and testing set of included samples is initially set as 8: 1: 1. State-of-art algorithm (namely UNet, Swin-UNet, DeepLab-V3, etc) and self-developed deep learning algorithm will be used to develop the sementic segmentation models. Dice coefficient (DC), Hausdorff distance (HD), and mean surface distance (MSD) will be used to assess the segmentation performance. Discussions: This protocol firstly proposed the research plans to develop deep learning models to achieve multi-task semantic segmentation of spinal endoscopy images. Automatically recognizing and simultaneously contouring the surgical instruments and anatomic structures will teach the robot understand the surgical procedures of human surgeons. The research results and the annotated data will be disclosed and published in the near future.

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A review of advances in image-guided orthopedic surgery

Cited by 14 publications

References 149 publications

Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

Revolutionizing patient care: the harmonious blend of artificial intelligence and surgical tradition

Protocol for semantic segmentation of spinal endoscopic instruments and anatomic structures : how far is robotic endoscopy surgery?

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