AIMC Topic: Appendicitis
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Exploring the role of an artificial intelligence chatbot on appendicitis management: an experimental study on ChatGPT.
ANZ journal of surgery
Oct 19, 2023
BACKGROUND: Appendicitis is a common surgical condition that requires urgent medical attention. Recent advancements in artificial intelligence and large language processing, such as ChatGPT, have demonstrated potential in supporting healthcare manage...
Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.
Academic radiology
Sep 27, 2023
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a deep learning and radiomics combined model for differentiating complicated from uncomplicated acute appendicitis (AA).
Artificial intelligence for predicting acute appendicitis: a systematic review.
ANZ journal of surgery
Jul 17, 2023
BACKGROUND: Paediatric appendicitis may be challenging to diagnose, and outcomes difficult to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be able to assist with these tasks.
The application of artificial intelligence methods to gene expression data for differentiation of uncomplicated and complicated appendicitis in children and adolescents - a proof of concept study.
BMC pediatrics
Jun 8, 2021
BACKGROUND: Genome wide gene expression analysis has revealed hints for independent immunological pathways underlying the pathophysiologies of phlegmonous (PA) and gangrenous appendicitis (GA). Methods of artificial intelligence (AI) have successfull...
A novel and simple machine learning algorithm for preoperative diagnosis of acute appendicitis in children.
Pediatric surgery international
Apr 20, 2020
INTRODUCTION: There is a tendency toward nonoperative management of appendicitis resulting in an increasing need for preoperative diagnosis and classification. For medical purposes, simple conceptual decision-making models that can learn are widely u...
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining.
Scientific reports
Mar 3, 2020
The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The purpose of this study was to develop a 3D d...
Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.
PloS one
Sep 25, 2019
Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Appendectomy is still the therapy of choice, but conservative strategies are increasingly being studied for uncomplicated inflammation. Diagnosis of acu...
Diagnosis of pain in the right iliac fossa. A new diagnostic score based on Decision-Tree and Artificial Neural Network Methods.
Cirugia espanola
Apr 18, 2019
INTRODUCTION: Pain in the right iliac fossa (RIF) continues to pose diagnostic challenges. The objective of this study is the development of a RIF pain diagnosis model based on classification trees of type CHAID (Chi-Square Automatic Interaction Dete...
The diagnostic value of hepcidin to predict the presence and severity of appendicitis in children.
The Journal of surgical research
Nov 2, 2017
BACKGROUND: The aim of this study was to determine the diagnostic capacity of hepcidin in pediatric acute appendicitis and its accuracy as a predictor of the severity of appendicitis.
Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing.
Computational and mathematical methods in medicine
May 18, 2015
Ultrasound examination (US) does a key role in the diagnosis and management of the patients with clinically suspected appendicitis which is the most common abdominal surgical emergency. Among the various sonographic findings of appendicitis, outer di...
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