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Advances in Surgical Management of Orthopedics—Artificial Intelligence (AI) Applications and...
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Advances in Surgical Management of Orthopedics—Artificial Intelligence (AI) Applications and Robotic Surgery Techniques

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 2173

Special Issue Editor

Dr. Kouroush Kabir

E-Mail Website
Guest Editor
Medical Director and Chief Consultant Surgeon at the Center of Trauma Surgery, Orthopedics and Sports Medicine in Helios University Hospital Wuppertal, University Bonn, Bonn, Germany
Interests: minimally invasive and endoscopic pelvic surgery; computer-navigated and robotic surgery of the spine and pelvis; tel-emedicine; ai in orthopaedic and trauma surgery; sustainability in surgery; patient-centric healthcare with a particular focus on orthogeriatric and sports medicine

Special Issue Information

Dear Colleagues,

This Special Issue, "Advances in Surgical Management of Orthopedics—Artificial Intelligence (AI) Applications and Robotic Surgery Techniques", will explore the groundbreaking integration of AI and robotic technologies in orthopedic surgery. It will delve into the latest developments, research findings, and clinical applications of AI-driven algorithms and robotic-assisted surgical procedures, showcasing their potential to enhance precision, improve patient outcomes, and reduce recovery times. Contributions will cover a range of topics, including the role of AI in preoperative planning, intraoperative navigation, and postoperative care, as well as the recent advancements in minimally invasive robotic surgery techniques. This Special Issue seeks to foster discussions on the challenges, ethical considerations, and future directions of AI and robotics in orthopedics, presenting insights from researchers and clinicians. By bridging the gap between technology and clinical practice, this Special Issue will pave the way for innovative solutions and transformative approaches in the surgical management of orthopedic conditions.

Dr. Kouroush Kabir
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • orthopedic surgery
  • Artificial Intelligence (AI)
  • robotic surgery techniques
  • preoperative planning
  • intraoperative navigation
  • postoperative care
  • minimally invasive surgery
  • surgical precision
  • patient-centric outcomes and patient-specific implants
  • ethical considerations in AI and robotics

Published Papers (2 papers)

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Research

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12 pages, 1460 KiB  
Article
Validation of a Three-Dimensional Weight-Bearing Measurement Protocol for Medial Open-Wedge High Tibial Osteotomy
by Sandro Hodel, Julian Hasler, Tabitha Arn Roth, Andreas Flury, Cyrill Sutter, Sandro F. Fucentese, Philipp Fürnstahl and Lazaros Vlachopoulos
J. Clin. Med. 2024, 13(5), 1280; https://doi.org/10.3390/jcm13051280 - 23 Feb 2024
Viewed by 551
Abstract
Three-dimensional (3D) deformity assessment and leg realignment planning is emerging. The aim of this study was to (1) validate a novel 3D planning modality that incorporates the weight-bearing (WB) state (3D WB) by comparing it to existing modalities (3D non-weight-bearing (NWB), 2D WB) [...] Read more.
Three-dimensional (3D) deformity assessment and leg realignment planning is emerging. The aim of this study was to (1) validate a novel 3D planning modality that incorporates the weight-bearing (WB) state (3D WB) by comparing it to existing modalities (3D non-weight-bearing (NWB), 2D WB) and (2) evaluate the influence of the modality (2D vs. 3D) and the WB condition on the measurements. Three different planning and deformity measurement protocols were analyzed in 19 legs that underwent medial open-wedge high tibial osteotomy (HTO): (1) a 3D WB protocol, after 2D/3D registration of 3D CT models onto the long-leg radiograph (LLR) (3D WB), (2) a 3D NWB protocol based on the 3D surface models obtained in the supine position (3D NWB), and (3) a 2D WB protocol based on the LLR (2D WB). The hip–knee–ankle angle (HKA), joint line convergence angle (JLCA), and the achieved surgical correction were measured for each modality and patient. All the measurement protocols demonstrated excellent intermodal agreement for the achieved surgical correction, with an ICC of 0.90 (95% CI: 0.76–0.96)) (p < 0.001). Surgical correction had a higher mean absolute difference compared to the 3D opening angle (OA) when measured with the WB protocols (3D WB: 2.7 ± 1.8°, 3D NWB: 1.9 ± 1.3°, 2D WB: 2.2 ± 1.3°), but it did not show statistical significance. The novel planning modality (3D WB) demonstrated excellent agreement when measuring the surgical correction after HTO compared to existing modalities. Full article
(This article belongs to the Special Issue Advances in Surgical Management of Orthopedics—Artificial Intelligence (AI) Applications and Robotic Surgery Techniques)
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Review

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13 pages, 3388 KiB  
Review
Artificial Intelligence in Scoliosis: Current Applications and Future Directions
by Haozhi Zhang, Changfa Huang, Daoyun Wang, Kuan Li, Xiao Han, Xin Chen and Zheng Li
J. Clin. Med. 2023, 12(23), 7382; https://doi.org/10.3390/jcm12237382 - 29 Nov 2023
Cited by 2 | Viewed by 1285
Abstract
Scoliosis is a three-dimensional deformity of lateral bending and rotation of the spine. Artificial intelligence (AI) is a set of theories and techniques for studying artificial intelligence, which realizes machine intelligence by simulating and expanding human intelligence. With the continuous development of the [...] Read more.
Scoliosis is a three-dimensional deformity of lateral bending and rotation of the spine. Artificial intelligence (AI) is a set of theories and techniques for studying artificial intelligence, which realizes machine intelligence by simulating and expanding human intelligence. With the continuous development of the multidisciplinary integration trend of modern medicine, artificial intelligence is used more and more in the diagnosis and treatment of scoliosis. Artificial intelligence has been widely used in the study of scoliosis and has penetrated into all fields of clinical practice of scoliosis. At present, artificial intelligence has shown good application prospects in early screening, diagnosis, treatment decision making, intraoperative operation, and prognosis prediction of scoliosis. This paper mainly summarizes the application of artificial intelligence in the clinical practice of scoliosis, and briefly introduces the AI model and its specific applications. In addition, this paper also discusses the limitations and future development of artificial intelligence. In the future, artificial intelligence will bring greater convenience to the diagnosis and treatment of scoliosis and provide better therapeutic effects for patients. Full article
(This article belongs to the Special Issue Advances in Surgical Management of Orthopedics—Artificial Intelligence (AI) Applications and Robotic Surgery Techniques)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review. 

Validation of a three-dimensional weight-bearing measurement 
protocol for high tibial osteotomy

Abstract: Three-dimensional (3D) deformity assessment and leg 
realignment planning is emerging. The aim of the study was to (1) 
validate a novel 3D planning modality that incorporates the 
weight-bearing (WB) state  (3D WB) by comparing it to existing 
mo-dalities (3D non-weight-bearing (NWB), 2D WB) and to (2) evaluate 
the influence of modality (2D vs. 3D) and the WB condition on 
measurements.
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