Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review.

IF 2 3区 医学 Q2 ORTHOPEDICS
International Orthopaedics Pub Date : 2025-04-01 Epub Date: 2025-03-18 DOI:10.1007/s00264-025-06497-1
Yosra Magdi Mekki, Hye Chang Rhim, Daniel Daneshvar, Antonios N Pouliopoulos, Catherine Curtin, Elisabet Hagert
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引用次数: 0

Abstract

Purpose: The purpose of this scoping review is to analyze the application of artificial intelligence (AI) in ultrasound (US) imaging for diagnosing carpal tunnel syndrome (CTS), with an aim to explore the potential of AI in enhancing diagnostic accuracy, efficiency, and patient outcomes by automating tasks, providing objective measurements, and facilitating earlier detection of CTS.

Methods: We systematically searched multiple electronic databases, including Embase, PubMed, IEEE Xplore, and Scopus, to identify relevant studies published up to January 1, 2025. Studies were included if they focused on the application of AI in US imaging for CTS diagnosis. Editorials, expert opinions, conference papers, dataset publications, and studies that did not have a clear clinical application of the AI algorithm were excluded.

Results: 345 articles were identified, following abstract and full-text review by two independent reviewers, 18 manuscripts were included. Of these, thirteen studies were experimental studies, three were comparative studies, and one was a feasibility study. All eighteen studies shared the common objective of improving CTS diagnosis and/or initial assessment using AI, with shared aims ranging from median nerve segmentation (n = 12) to automated diagnosis (n = 9) and severity classification (n = 2). The majority of studies utilized deep learning approaches, particularly CNNs (n = 15), and some focused on radiomics features (n = 5) and traditional machine learning techniques.

Conclusion: The integration of AI in US imaging for CTS diagnosis holds significant promise for transforming clinical practice. AI has the potential to improve diagnostic accuracy, streamline the diagnostic process, reduce variability, and ultimately lead to better patient outcomes. Further research is needed to address challenges related to dataset limitations, variability in US imaging, and ethical considerations.

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来源期刊
International Orthopaedics
International Orthopaedics 医学-整形外科
CiteScore
5.50
自引率
7.40%
发文量
360
审稿时长
1 months
期刊介绍: International Orthopaedics, the Official Journal of the Société Internationale de Chirurgie Orthopédique et de Traumatologie (SICOT) , publishes original papers from all over the world. The articles deal with clinical orthopaedic surgery or basic research directly connected with orthopaedic surgery. International Orthopaedics will also link all the members of SICOT by means of an insert that will be concerned with SICOT matters. Finally, it is expected that news and information regarding all aspects of orthopaedic surgery, including meetings, panels, instructional courses, etc. will be brought to the attention of the readers. Manuscripts submitted for publication must contain a statement to the effect that all human studies have been approved by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki. It should also be stated clearly in the text that all persons gave their informed consent prior to their inclusion in the study. Details that might disclose the identity of the subjects under study should be omitted. Reports of animal experiments must state that the "Principles of laboratory animal care" (NIH publication No. 85-23, revised 1985) were followed, as well as specific national laws (e.g. the current version of the German Law on the Protection of Animals) where applicable. The editors reserve the right to reject manuscripts that do not comply with the above-mentioned requirements. The author will be held responsible for false statements or for failure to fulfil the above-mentioned requirements.
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