دورية أكاديمية
أعرض في EDS

Application and Prospects of Artificial Intelligence Technology in Early Screening of Chronic Obstructive Pulmonary Disease at Primary Healthcare Institutions in China.

التفاصيل البيبلوغرافية
العنوان: Application and Prospects of Artificial Intelligence Technology in Early Screening of Chronic Obstructive Pulmonary Disease at Primary Healthcare Institutions in China.
المؤلفون: Yang X; Department of General Practice, Donghuashi Community Health Service Center, Beijing, People's Republic of China.
المصدر: International journal of chronic obstructive pulmonary disease [Int J Chron Obstruct Pulmon Dis] 2024 May 14; Vol. 19, pp. 1061-1067. Date of Electronic Publication: 2024 May 14 (Print Publication: 2024).
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: DOVE Medical Press Country of Publication: New Zealand NLM ID: 101273481 Publication Model: eCollection Cited Medium: Internet ISSN: 1178-2005 (Electronic) Linking ISSN: 11769106 NLM ISO Abbreviation: Int J Chron Obstruct Pulmon Dis Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Auckland, N.Z. : DOVE Medical Press,
مواضيع طبية MeSH: Pulmonary Disease, Chronic Obstructive*/diagnosis , Pulmonary Disease, Chronic Obstructive*/epidemiology , Early Diagnosis* , Primary Health Care* , Artificial Intelligence* , Predictive Value of Tests* , Mass Screening*/methods, Humans ; China/epidemiology ; Risk Factors ; Diagnosis, Computer-Assisted ; Lung/physiopathology ; Risk Assessment ; Reproducibility of Results ; Prognosis
مستخلص: Chronic Obstructive Pulmonary Disease (COPD), as one of the major global health threat diseases, particularly in China, presents a high prevalence and mortality rate. Early diagnosis is crucial for controlling disease progression and improving patient prognosis. However, due to the lack of significant early symptoms, the awareness and diagnosis rates of COPD remain low. Against this background, primary healthcare institutions play a key role in identifying high-risk groups and early diagnosis. With the development of Artificial Intelligence (AI) technology, its potential in enhancing the efficiency and accuracy of COPD screening is evident. This paper discusses the characteristics of high-risk groups for COPD, current screening methods, and the application of AI technology in various aspects of screening. It also highlights challenges in AI application, such as data privacy, algorithm accuracy, and interpretability. Suggestions for improvement, such as enhancing AI technology dissemination, improving data quality, promoting interdisciplinary cooperation, and strengthening policy and financial support, aim to further enhance the effectiveness and prospects of AI technology in COPD screening at primary healthcare institutions in China.
Competing Interests: The author reports no conflicts of interest in this work.
(© 2024 Yang.)
References: Biosystems. 2022 Jan;211:104585. (PMID: 34864143)
Respiration. 2006;73(3):285-95. (PMID: 16330875)
Int J Tuberc Lung Dis. 2013 Dec;17(12):1645-51. (PMID: 24200283)
NPJ Digit Med. 2022 Jan 27;5(1):11. (PMID: 35087178)
Int J Chron Obstruct Pulmon Dis. 2018 Apr 10;13:1115-1124. (PMID: 29692606)
Lancet. 2018 Apr 28;391(10131):1706-1717. (PMID: 29650248)
Sensors (Basel). 2023 Jan 05;23(2):. (PMID: 36679430)
Nature. 2023 Aug;620(7972):47-60. (PMID: 37532811)
Med Biol Eng Comput. 2022 Aug;60(8):2321-2333. (PMID: 35750976)
Lancet. 2021 Mar 6;397(10277):928-940. (PMID: 33631128)
J Allergy Clin Immunol Pract. 2021 Jun;9(6):2255-2261. (PMID: 33618053)
IEEE J Biomed Health Inform. 2018 Sep;22(5):1486-1496. (PMID: 29990220)
AJR Am J Roentgenol. 2020 May;214(5):1065-1071. (PMID: 32130041)
Zhonghua Liu Xing Bing Xue Za Zhi. 2006 Sep;27(9):814-8. (PMID: 17299971)
Am J Respir Crit Care Med. 2007 Oct 15;176(8):753-60. (PMID: 17575095)
Am J Respir Crit Care Med. 2017 Mar 15;195(6):748-756. (PMID: 27783539)
Front Med (Lausanne). 2022 Apr 21;9:845286. (PMID: 35530043)
NPJ Prim Care Respir Med. 2022 Aug 20;32(1):29. (PMID: 35987745)
Eur Respir J. 2019 Apr 11;53(4):. (PMID: 30765505)
Int J Chron Obstruct Pulmon Dis. 2018 Jun 13;13:1901-1912. (PMID: 29942123)
Br J Radiol. 2022 May 01;95(1133):20210637. (PMID: 35143286)
Clin Chest Med. 2014 Mar;35(1):131-41. (PMID: 24507841)
AJR Am J Roentgenol. 2001 Jul;177(1):179-84. (PMID: 11418423)
Int J Chron Obstruct Pulmon Dis. 2023 Aug 17;18:1773-1781. (PMID: 37608835)
IEEE Trans Biomed Eng. 2022 Jul;69(7):2390-2400. (PMID: 35077352)
فهرسة مساهمة: Keywords: artificial intelligence; chronic obstructive pulmonary disease; data privacy; high-risk group screening; primary healthcare institutions
تواريخ الأحداث: Date Created: 20240520 Date Completed: 20240520 Latest Revision: 20240521
رمز التحديث: 20240521
مُعرف محوري في PubMed: PMC11102166
DOI: 10.2147/COPD.S458935
PMID: 38765765
قاعدة البيانات: MEDLINE
الوصف
تدمد:1178-2005
DOI:10.2147/COPD.S458935