AIMC Topic: Abdominal Pain
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Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.
World journal of emergency surgery : WJES
Dec 23, 2024
BACKGROUND: Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, with appendicitis being a prevalent AAP etiology often necessitating surgical intervention. The variability in AAP symptoms and causes, combined with th...
Accurate diagnosis of acute appendicitis in the emergency department: an artificial intelligence-based approach.
Internal and emergency medicine
Aug 21, 2024
The diagnosis of abdominal pain in emergency departments is challenging, and appendicitis is a common concern. Atypical symptoms often delay diagnosis. Although the Alvarado score aids in decision-making, its low specificity can lead to unnecessary s...
Advancing Emergency Department Triage Prediction With Machine Learning to Optimize Triage for Abdominal Pain Surgery Patients.
Surgical innovation
Aug 16, 2024
BACKGROUND: The development of emergency department (ED) triage systems remains challenging in accurately differentiating patients with acute abdominal pain (AAP) who are critical and urgent for surgery due to subjectivity and limitations. We use mac...
Robot-assisted Laparoscopic Excision of Abdominal Wall Endometrioma Utilizing Intraoperative Ultrasound and Transabdominal Needle Placement.
Journal of minimally invasive gynecology
Aug 2, 2023
OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incidence of 11% and a rare subset of extra pelvic lesions include abdominal wall endometriosis with an incidence of 0.03% to 3.5% [1,2]. Evaluation for and...
Robotic computed tomography-guided celiac plexus neurolysis: our experience of technique and outcomes.
Pain management
Jun 17, 2022
We report the use of robot assistance for computed tomography-guided celiac plexus neurolysis for the first time. Four patients of upper abdominal cancer with intractable pain despite opioids were positioned prone on the PET-computed tomography sca...
The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain.
Scientific reports
Oct 14, 2021
Our objective was to investigate the feasibility of deep learning-based synthetic contrast-enhanced CT (DL-SCE-CT) from nonenhanced CT (NECT) in patients who visited the emergency department (ED) with acute abdominal pain (AAP). We trained an algorit...
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.
American journal of surgery
Mar 26, 2021
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...
Humans
Machine Learning
Back Pain
Databases, Pharmaceutical
ROC Curve
Insurance Claim Review
Area Under Curve
Prescription Drug Overuse
Abdominal Pain
Young Adult
Analgesics, Opioid
Adult
Male
Forecasting
Middle Aged
Headache
Retrospective Studies
Comorbidity
Postoperative Period
Female
Drug Prescriptions
Aged
Preoperative Period
Arthralgia
Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?
Pediatric research
Oct 4, 2019
BACKGROUND: To characterize acoustic features of an infant's cry and use machine learning to provide an objective measurement of behavioral state in a cry-translator. To apply the cry-translation algorithm to colic hypothesizing that these cries soun...
Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach.
BMC infectious diseases
Jul 22, 2019
BACKGROUND: Despite the greater sensitivity of the new dengue clinical classification proposed by the World Health Organization (WHO) in 2009, there is a need for a better definition of warning signs and clinical progression of dengue cases. Classic ...
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...
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