دورية أكاديمية
أعرض في EDS

Capturing relationships between suturing sub-skills to improve automatic suturing assessment.

التفاصيل البيبلوغرافية
العنوان: Capturing relationships between suturing sub-skills to improve automatic suturing assessment.
المؤلفون: Cui Z; University of Southern California, Los Angeles, CA, USA., Ma R; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Yang CH; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Malpani A; Surgical Science, Seattle, WA, USA., Chu TN; University of Southern California, Los Angeles, CA, USA., Ghazi A; Johns Hopkins University, Baltimore, MD, USA., Davis JW; University of Texas MD Anderson Cancer Center, Houston, TX, USA., Miles BJ; Houston Methodist, Houston, TX, USA., Lau C; City of Hope, Duarte, CA, USA., Liu Y; University of Southern California, Los Angeles, CA, USA., Hung AJ; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. andrew.hung@cshs.org.
المصدر: NPJ digital medicine [NPJ Digit Med] 2024 Jun 11; Vol. 7 (1), pp. 152. Date of Electronic Publication: 2024 Jun 11.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [London] ; New York : Nature Publishing Group, [2018]-
مستخلص: Suturing skill scores have demonstrated strong predictive capabilities for patient functional recovery. The suturing can be broken down into several substep components, including needle repositioning, needle entry angle, etc. Artificial intelligence (AI) systems have been explored to automate suturing skill scoring. Traditional approaches to skill assessment typically focus on evaluating individual sub-skills required for particular substeps in isolation. However, surgical procedures require the integration and coordination of multiple sub-skills to achieve successful outcomes. Significant associations among the technical sub-skill have been established by existing studies. In this paper, we propose a framework for joint skill assessment that takes into account the interconnected nature of sub-skills required in surgery. The prior known relationships among sub-skills are firstly identified. Our proposed AI system is then empowered by the prior known relationships to perform the suturing skill scoring for each sub-skill domain simultaneously. Our approach can effectively improve skill assessment performance through the prior known relationships among sub-skills. Through the proposed approach to joint skill assessment, we aspire to enhance the evaluation of surgical proficiency and ultimately improve patient outcomes in surgery.
(© 2024. The Author(s).)
References: Nat Biomed Eng. 2023 Jun;7(6):780-796. (PMID: 36997732)
IEEE Trans Neural Netw Learn Syst. 2021 Jan;32(1):4-24. (PMID: 32217482)
Eur Urol Focus. 2022 Mar;8(2):623-630. (PMID: 33858811)
Surg Endosc. 2022 Nov;36(11):7938-7948. (PMID: 35556166)
Neural Comput. 1997 Nov 15;9(8):1735-80. (PMID: 9377276)
Brief Bioinform. 2022 Nov 19;23(6):. (PMID: 36124766)
IEEE Trans Neural Netw Learn Syst. 2022 Dec;33(12):6999-7019. (PMID: 34111009)
JAMA Surg. 2015 Nov;150(11):1086-7. (PMID: 26421369)
J Endourol. 2022 Feb;36(2):273-278. (PMID: 34779231)
Ann Surg. 2017 Mar;265(3):492-501. (PMID: 27537534)
IEEE Trans Biomed Eng. 2017 Sep;64(9):2025-2041. (PMID: 28060703)
J Urol. 2019 Mar;201(3):461-469. (PMID: 30053510)
BJU Int. 2019 Sep;124(3):487-495. (PMID: 30811828)
معلومات مُعتمدة: R01 CA251579 United States CA NCI NIH HHS; R01CA251579 U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
تواريخ الأحداث: Date Created: 20240611 Latest Revision: 20240615
رمز التحديث: 20240615
مُعرف محوري في PubMed: PMC11167055
DOI: 10.1038/s41746-024-01143-3
PMID: 38862627
قاعدة البيانات: MEDLINE
الوصف
تدمد:2398-6352
DOI:10.1038/s41746-024-01143-3