The alvarado score is the most impactful diagnostic tool for appendicitis: a bibliometric analysis

NNA Bahta, P Zeinert, J Rosenberg… - Journal of Surgical …, 2023 - Elsevier
Introduction The objective of this bibliometric analysis was to investigate the citation pattern
of studies that have developed a diagnostic tool to diagnose appendicitis. Methods We …

Many diagnostic tools for appendicitis: a scoping review

NNA Bahta, J Rosenberg, S Fonnes - Surgical Endoscopy, 2023 - Springer
Background We aimed to provide an overview of all diagnostic tools developed to diagnose
appendicitis with their reported accuracy and to further characterize these including their …

[HTML][HTML] Using machine learning to predict the diagnosis, management and severity of pediatric appendicitis

R Marcinkevics, P Reis Wolfertstetter… - Frontiers in …, 2021 - frontiersin.org
Background: Given the absence of consolidated and standardized international guidelines
for managing pediatric appendicitis and the few strictly data-driven studies in this specific …

Development and evaluation of a clinical decision support system for early diagnosis of acute appendicitis

L Shahmoradi, R Safdari, MM Mirhosseini, S Rezayi… - Scientific Reports, 2023 - nature.com
The most frequent reason for individuals experiencing abdominal discomfort to be referred
to emergency departments of hospitals is acute appendicitis, and the most frequent …

[HTML][HTML] Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis

R Marcinkevičs, PR Wolfertstetter, U Klimiene… - Medical Image …, 2024 - Elsevier
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous
decision support systems for appendicitis have focused on clinical, laboratory, scoring, and …

Artificial intelligence for predicting acute appendicitis: a systematic review

A Lam, E Squires, S Tan, NJ Swen… - ANZ Journal of …, 2023 - Wiley Online Library
Background Paediatric appendicitis may be challenging to diagnose, and outcomes difficult
to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be …

Learning medical risk scores for pediatric appendicitis

PR Aparicio, R Marcinkevičs… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Appendicitis is a common childhood disease, the management of which still lacks
consolidated international criteria. In clinical practice, heuristic scoring systems are often …

[HTML][HTML] Related markers for the precision diagnosis of complex appendicitis in children

J Zhou, W Xu, J Wang, Z Fan - Frontiers in Pharmacology, 2022 - frontiersin.org
Acute appendicitis is the most common surgical emergency in children. Despite the high
incidence rate of appendicitis, it is sometimes misdiagnosed or missed. Complex …

[HTML][HTML] Use of machine learning in pediatric surgical clinical prediction tools: A systematic review

A Bianco, ZAM Al-Azzawi, E Guadagno… - Journal of Pediatric …, 2023 - Elsevier
Abstract Purpose Clinical prediction tools (CPTs) are decision-making instruments utilizing
patient data to predict specific clinical outcomes, risk-stratify patients, or suggest …

Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review

S Bhandarkar, A Tsutsumi, EB Schneider… - Surgical …, 2024 - liebertpub.com
Background: Appendicitis is an inflammatory condition that requires timely and effective
intervention. Despite being one of the most common surgically treated diseases, the …