Research on artificial intelligence in shoulder and elbow surgery is increasing

Gupta, Puneet; Marigi, Erick M.; Sánchez-Sotelo, Joaquín

doi:10.1016/j.jseint.2022.10.004

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…These applications aim to offer patients more precise and personalized diagnosis and treatment plans. 6,7 In a study conducted by Iwamoto et al 8 28 patients with elbow osteoarthritis or rheumatoid arthritis underwent preoperative non-hinge total elbow replacement following digital orthopedic planning. During the surgery, the elbow prosthesis was accurately placed and the surgical cost was reduced, leading to decrease of the incidence of postoperative complications and improvement of mid-and long-term efficacy.…”

Section: Discussionmentioning

confidence: 99%

“…These applications aim to offer patients more precise and personalized diagnosis and treatment plans. 6 , 7 In a study conducted by Iwamoto et al . 8 28 patients with elbow osteoarthritis or rheumatoid arthritis underwent preoperative non‐hinge total elbow replacement following digital orthopedic planning.…”

Section: Discussionmentioning

confidence: 99%

“…At present, an emerging interdisciplinary field arising from the convergence of modern computer technology and orthopedic medicine, known as digital orthopedics, utilizes tools such as three‐dimensional model reconstruction, 3D printing, personalized osteotomy guides, finite element analysis, computer‐aided navigation, virtual reality, augmented reality, robot‐assisted surgery, and artificial intelligence. These applications aim to offer patients more precise and personalized diagnosis and treatment plans 6,7 . In a study conducted by Iwamoto et al 8 .…”

Section: Discussionmentioning

confidence: 99%

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Using 3D Printing Technology to Design Split‐Piece Sleeve Prosthesis in the Revision Surgery of Tumor‐Type Total Elbow Prosthetic Fractures: A Case Report

Zhai,

Zheng,

et al. 2024

Orthopaedic Surgery

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BackgroundRevision of tumor‐type prosthetic fractures is very challenging in clinical work. Traditional repair methods may not be able to meet the needs of complex cases or cause greater bone damage. Therefore, more effective and reliable solutions need to be found.Case PresentationThis study presents a novel revision technique for managing fractures of tumor‐type total elbow prostheses. A 57‐year‐old female patient was diagnosed with a left distal humeral bone tumor accompanied by pathological fracture and underwent customized tumor‐type total elbow prosthesis arthroplasty. After 5 years, she experienced pain and encountered difficulty in flexing the left elbow while lifting heavy objects. The X‐ray examination revealed a fracture of the distal humeral prosthesis. As a response, the elbow joint was initially explored, and the damaged component of the prosthesis was extracted. Subsequently, we utilized 3D printing technology to design a split‐piece sleeve prosthesis and effectively restored the fractured left distal humerus implant. During the 2‐year follow‐up, The X‐ray demonstrated satisfactory positioning of the prosthesis, which remained securely affixed without any indications of loosening. The Mayo Elbow Performance Score (MEPS) reached 80 points, the Musculoskeletal Tumor Society (MSTS) attained a score of 28 points, and the range of motion of the elbow was measured between 25° and 110°, revealing favorable functional outcomes.ConclusionThe utilization of a 3D printed split‐piece sleeve prosthesis presents a viable clinical treatment strategy for addressing fractures in tumor‐type elbow prostheses.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Using 3D Printing Technology to Design Split‐Piece Sleeve Prosthesis in the Revision Surgery of Tumor‐Type Total Elbow Prosthetic Fractures: A Case Report

Zhai,

Zheng,

et al. 2024

Orthopaedic Surgery

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“…The application of artificial intelligence (AI) and machine learning (ML) models in rehabilitation has become increasingly important for different purposes, such as classification, prediction, and the development of personalized treatment plans, as well as the enhancement of diagnostic accuracy [44][45][46][47][48]. These not only enhance treatment effectiveness but also facilitate more efficient and cost-effective care.…”

Section: Artificial Intelligencementioning

confidence: 99%

Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy

Sassi,

Villa Corta,

Pisani

et al. 2024

Sensors

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Shoulder pain represents the most frequently reported musculoskeletal disorder, often leading to significant functional impairment and pain, impacting quality of life. Home-based rehabilitation programs offer a more accessible and convenient solution for an effective shoulder disorder treatment, addressing logistical and financial constraints associated with traditional physiotherapy. The aim of this systematic review is to report the monitoring devices currently proposed and tested for shoulder rehabilitation in home settings. The research question was formulated using the PICO approach, and the PRISMA guidelines were applied to ensure a transparent methodology for the systematic review process. A comprehensive search of PubMed and Scopus was conducted, and the results were included from 2014 up to 2023. Three different tools (i.e., the Rob 2 version of the Cochrane risk-of-bias tool, the Joanna Briggs Institute (JBI) Critical Appraisal tool, and the ROBINS-I tool) were used to assess the risk of bias. Fifteen studies were included as they fulfilled the inclusion criteria. The results showed that wearable systems represent a promising solution as remote monitoring technologies, offering quantitative and clinically meaningful insights into the progress of individuals within a rehabilitation pathway. Recent trends indicate a growing use of low-cost, non-intrusive visual tracking devices, such as camera-based monitoring systems, within the domain of tele-rehabilitation. The integration of home-based monitoring devices alongside traditional rehabilitation methods is acquiring significant attention, offering broader access to high-quality care, and potentially reducing healthcare costs associated with in-person therapy.

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Editorial Commentary: Experts in Shoulder Surgery Do Not Consistently Detect Artificial Intelligence–Generated Scientific Abstracts

DeFoor,

Sheean

2024

Arthroscopy: The Journal of Arthroscopic & Related Surgery

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Research on artificial intelligence in shoulder and elbow surgery is increasing

Cited by 6 publications

References 37 publications

Using 3D Printing Technology to Design Split‐Piece Sleeve Prosthesis in the Revision Surgery of Tumor‐Type Total Elbow Prosthetic Fractures: A Case Report

Using 3D Printing Technology to Design Split‐Piece Sleeve Prosthesis in the Revision Surgery of Tumor‐Type Total Elbow Prosthetic Fractures: A Case Report

Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy

Editorial Commentary: Experts in Shoulder Surgery Do Not Consistently Detect Artificial Intelligence–Generated Scientific Abstracts

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