Domestic Violence

A CNN-LASSO ensemble classification model for incomplete antibody reactants screening in coombs test.

BACKGROUND: Precise classification of incomplete antibody reactants (IAR) in the Coombs test is the ...

An Early Warning System Using Machine Learning for the Detection of Intracranial Hematomas in the Emergency Trauma Setting.

AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm f...

Cloning Strategies for the Generation of Recombinant Capripoxvirus Through the Use of Screening and Selection Markers.

The ability to manipulate capripoxvirus through gene knockouts and gene insertions has become an inc...

Use of deep learning methods for hand fracture detection from plain hand radiographs.

BACKGROUND: Patients with hand trauma are usually examined in emergency departments of hospitals. Ha...

Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.

To evaluate the performance of an artificial intelligence (AI) algorithm in a simulated screening s...

Demographic Reporting in Publicly Available Chest Radiograph Data Sets: Opportunities for Mitigating Sex and Racial Disparities in Deep Learning Models.

OBJECTIVE: Data sets with demographic imbalances can introduce bias in deep learning models and pote...

Deep Learning for Outcome Prediction in Neurosurgery: A Systematic Review of Design, Reporting, and Reproducibility.

Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predi...

Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...

Clinical decision support for severe trauma patients: Machine learning based definition of a bundle of care for hemorrhagic shock and traumatic brain injury.

BACKGROUND: Deviation from guidelines is frequent in emergency situations, and this may lead to incr...

Lung Nodule Detectability of Artificial Intelligence-assisted CT Image Reading in Lung Cancer Screening.

BACKGROUND: Artificial Intelligence (AI)-based automatic lung nodule detection system improves the d...

Designing Depression Screening Chatbots.

Advances in voice recognition, natural language processing, and artificial intelligence have led to ...

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

There is increasing popularity in the use of artificial intelligence and machine-learning techniques...

Are rib fractures stable? An analysis of progressive rib fracture offset in the acute trauma setting.

BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decisio...

A Machine Learning Approach to Reclassifying Miscellaneous Patient Safety Event Reports.

BACKGROUND AND OBJECTIVES: Medical errors are a leading cause of death in the United States. Despite...

Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induc...

Commentary: Reporting Guidelines for Studies on Artificial Intelligence: What Neurosurgeons Should Know.

Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.

In-Person Verification of Deep Learning Algorithm for Diabetic Retinopathy Screening Using Different Techniques Across Fundus Image Devices.

PURPOSE: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening mo...

Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning.

PURPOSE: The purpose of this study was to engineer deep learning (DL) models that can identify myopi...

Artificial Intelligence Enabling Radiology Reporting.

The radiology reporting process is beginning to incorporate structured, semantically labeled data. T...