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References from Artificial intelligence in gangrenous cholecystitis: advances in risk factor identification and preoperative prediction—a scoping review. Local targets link to admitted publications; unresolved targets remain external evidence.
Guidelines for the diagnosis and treatment of acute biliary tract infections (2021 edition)
2021 · External reference
Predictors of acute gangrenous cholecystitis and its complications: a retrospective cohort study
10.1186/s12893-025-03356-z · 2026 · External reference
Prognostic factors for the development of gangrenous cholecystitis
10.1016/j.amjsurg.2003.08.001 · 2003 · External reference
Risk factors associated with gangrenous cholecystitis: a cohort study from eastern India
10.7759/cureus.74126 · 2024 · External reference
2020 world society of emergency surgery updated guidelines for the diagnosis and treatment of acute calculus cholecystitis
10.1186/s13017-020-00336-x · 2020 · External reference
Tokyo guidelines 2018: flowchart for the management of acute cholecystitis
10.1002/jhbp.516 · 2018 · External reference
Enhancing the management of acute and gangrenous cholecystitis: a systematic review supported by the TriNetX database
10.21037/tgh-24-27 · 2025 · External reference
Risk factors associated with acute gangrenous cholecystitis
10.52787/agl.v54i2.402 · 2024 · External reference
Acute gangrenous cholecystitis: proposal of a score and comparison with previous published scores
10.1007/s11605-020-04707-2 · 2021 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · 2019 · External reference
Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives
10.1186/s40001-025-03196-w · 2025 · External reference
Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise
10.3389/fdgth.2025.1644041 · 2025 · External reference
Advances in AI and machine learning for predictive medicine
10.1038/s10038-024-01231-y · 2024 · External reference
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
10.1186/s43067-023-00108-y · 2023 · External reference
Medical image analysis using deep learning algorithms
10.3389/fpubh.2023.1273253 · 2023 · External reference
How explainable artificial intelligence can increase or decrease clinicians’ trust in AI applications in health care: systematic review
10.2196/53207 · 2024 · External reference
An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study
10.1186/s13017-024-00571-6 · 2025 · External reference
Development and validation of an explainable machine learning model for gangrenous cholecystitis prediction: a multicenter retrospective study
10.2147/jir.s552926 · 2025 · External reference
Self-supervised learning model integrates plain and contrast-enhanced CT for preoperatively identifying gangrenous cholecystitis: a multicenter retrospective cohort study
10.1097/js9.0000000000003063 · 2025 · External reference
Risk factor analysis of acute rapidly progressive gangrenous cholecystitis
2021 · External reference
The risk factor analysis of gallbladder gangrene in acute acalculous cholecystitis: a single-center retrospective study
10.1155/grp/8696872 · 2025 · External reference
Risk factors for gangrenous cholecystitis: a meta-analysis
2024 · External reference
Acute acalculous cholecystitis and cardiovascular disease, which came first? After two hundred years still the classic chicken and eggs debate: a review of literature
10.1016/j.amsu.2022.103668 · 2022 · External reference
Cholecystectomy in the context of cirrhosis, sclero-atrophic cholecystitis, and gangrenous cholecystitis: a literature review
10.3390/medicina61081314 · 2025 · External reference
Procalcitonin and C-reactive protein as biomarkers for diagnosing and assessing the severity of acute cholecystitis
10.1515/med-2025-1258 · 2025 · External reference
Diagnostic and prognostic value of AISI, SII, and SIRI in predicting gangrenous evolution of acute lithiasic cholecystitis
10.3390/diagnostics16030441 · 2026 · External reference
High serum CA19-9 predicts severe cholecystitis in calculous cholecystitis patients
10.1186/s12876-025-03616-5 · 2025 · External reference
Practical approach to thrombocytopenia in patients with sepsis: a narrative review
10.1186/s12959-024-00637-0 · 2024 · External reference
Sonography of gangrenous cholecystitis
10.4103/0974-2700.93112 · 2012 · External reference
Gangrenous cholecystitis: analysis of imaging findings in histopathologically confirmed cases
10.4103/ijri.ijri_421_16 · 2018 · External reference
Contrast-enhanced ultrasonography with sonazoid for diagnosis of gangrenous cholecystitis
10.1007/s10396-015-0677-6 · 2016 · External reference
CT Findings in acute gangrenous cholecystitis
10.2214/ajr.178.2.1780275 · 2002 · External reference
Predicting gangrenous cholecystitis
10.1111/hpb.12226 · 2014 · External reference
Prediction of patients with acute cholecystitis requiring emergent cholecystectomy: a simple score
10.1155/2010/901739 · 2010 · External reference
Transparency of medical artificial intelligence systems
10.1038/s44222-025-00363-w · 2026 · External reference
Why should I trust you: explaining the predictions of any classifier
2016 · External reference
Development and validation of machine learning tools for predicting postoperative complications in acute calculous cholecystitis
10.1007/s13304-025-02476-8 · 2025 · External reference
Gallstone disease classification using SLOA-optimized CatBoost classifier with explainable AI
10.1371/journal.pone.0342945 · 2026 · External reference
Gallbladder disease diagnosis from ultrasound using squeeze-and-excitation capsule network with convolutional bidirectional long short-term memory
10.1038/s41598-025-32978-9 · 2026 · External reference
Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience
10.5114/ceh.2021.111173 · 2021 · External reference
Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis
10.3748/wjg.v32.i11.116220 · 2026 · External reference
Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation
10.1007/s00464-022-09009-z · 2022 · External reference
Comparison of SHAP and clinician friendly explanations reveals effects on clinical decision behaviour
10.1038/s41746-025-01958-8 · 2025 · External reference
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
10.1038/s41746-023-00852-5 · 2023 · External reference