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For: Kang CB, Li XW, Hou SY, Chi XQ, Shan HF, Zhang QJ, Li XB, Zhang J, Liu TJ. Preoperatively predicting the pathological types of acute appendicitis using machine learning based on peripheral blood biomarkers and clinical features: a retrospective study. Ann Transl Med 2021;9:835. [PMID: 34164469 PMCID: PMC8184413 DOI: 10.21037/atm-20-7883] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Number Cited by Other Article(s)
1
Yazici H, Ugurlu O, Aygul Y, Ugur MA, Sen YK, Yildirim M. Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians. BMC Emerg Med 2024;24:101. [PMID: 38886641 PMCID: PMC11184860 DOI: 10.1186/s12873-024-01023-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/12/2024] [Indexed: 06/20/2024]  Open
2
Cappuccio M, Bianco P, Rotondo M, Spiezia S, D'Ambrosio M, Menegon Tasselli F, Guerra G, Avella P. Current use of artificial intelligence in the diagnosis and management of acute appendicitis. Minerva Surg 2024;79:326-338. [PMID: 38477067 DOI: 10.23736/s2724-5691.23.10156-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
3
Bianchi V, Giambusso M, De Iacob A, Chiarello MM, Brisinda G. Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review. Updates Surg 2024;76:783-792. [PMID: 38472633 PMCID: PMC11129994 DOI: 10.1007/s13304-024-01801-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/24/2024] [Indexed: 03/14/2024]
4
Bhandarkar S, Tsutsumi A, Schneider EB, Ong CS, Paredes L, Brackett A, Ahuja V. Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review. Surg Infect (Larchmt) 2024;25:7-18. [PMID: 38150507 DOI: 10.1089/sur.2023.201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]  Open
5
Issaiy M, Zarei D, Saghazadeh A. Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models. World J Emerg Surg 2023;18:59. [PMID: 38114983 PMCID: PMC10729387 DOI: 10.1186/s13017-023-00527-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023]  Open
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