Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models

[1] Di Saverio S(2020)Diagnosis and treatment of acute appendicitis: 2020 update of the WSES Jerusalem guidelines World J Emerg Surg 15 27-925

[2] Podda M(2021)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 9 835-546

[3] De Simone B(1990)The epidemiology of appendicitis and appendectomy in the United States Am J Epidemiol 132 910-804

[4] Ceresoli M(2004)Systematic review: computed tomography and ultrasonography to detect acute appendicitis in adults and adolescents Ann Intern Med 141 537-1930

[5] Augustin G(2002)The clinical and economic correlates of misdiagnosed appendicitis: nationwide analysis Arch Surg 137 799-297

[6] Gori A(2015)Machine learning in medicine Circulation 132 1920-865

[7] Kang CB(2022)AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems SN Comput Sci 3 158-2348

[8] Li XW(2021)Machine learning: algorithms, real-world applications and research directions SN Comput Sci 2 160-58

[9] Hou SY(1995)Support-vector networks Mach Learn 20 273-309

[10] Chi XQ(2021)Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions SN Comput Sci 2 420-93

[1] Di Saverio S(2020)Diagnosis and treatment of acute appendicitis: 2020 update of the WSES Jerusalem guidelines World J Emerg Surg 15 27-925

[2] Podda M(2021)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 9 835-546

[3] De Simone B(1990)The epidemiology of appendicitis and appendectomy in the United States Am J Epidemiol 132 910-804

[4] Ceresoli M(2004)Systematic review: computed tomography and ultrasonography to detect acute appendicitis in adults and adolescents Ann Intern Med 141 537-1930

[5] Augustin G(2002)The clinical and economic correlates of misdiagnosed appendicitis: nationwide analysis Arch Surg 137 799-297

[6] Gori A(2015)Machine learning in medicine Circulation 132 1920-865

[7] Kang CB(2022)AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems SN Comput Sci 3 158-2348

[8] Li XW(2021)Machine learning: algorithms, real-world applications and research directions SN Comput Sci 2 160-58

[9] Hou SY(1995)Support-vector networks Mach Learn 20 273-309

[10] Chi XQ(2021)Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions SN Comput Sci 2 420-93