Emergency Medicine

Quality of life, voiding & sexual dysfunction following robot-assisted vesicovaginal fistula repair: a tertiary care centre experience.

Robot-assisted VVF (RA-VVF) repair has the advantage of small cystotomy, precise dissection and mini...

The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD)...

Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model.

OBJECTIVES: The aim of the study is to develop and evaluate the performance of a deep learning (DL) ...

Australian perspectives on artificial intelligence in veterinary practice.

While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked intere...

Robot-assisted percutaneous pars-pedicle screw fixation for treating Hangman's fracture.

BACKGROUND: This study aimed to evaluate the safety and efficacy of robot-assisted percutaneous pars...

Effects of robot-assisted minimally invasive surgery on osteoporotic vertebral compression fracture: a systematic review, meta-analysis, and meta-regression of retrospective study.

OBJECTIVE: To conduct a systematic review on the effect of robot-assisted minimally invasive surgery...

An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries.

Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress ...

Comment on 'study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational study'.

Tough, Recyclable, and Degradable Elastomers for Potential Biomedical Applications.

Elastomers have many industrial, medical and commercial applications, however, their huge demand rai...

Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients.

The risks of post trauma complications are regulated by the injury, comorbidities, and the clinical ...

Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.

Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose diseas...

Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS).

Clinical effects of antihyperglycemic agents poisoning may overlap each other. So, distinguishing ex...

Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty: A Meta-Analysis of Postoperative Outcomes.

Osteoporotic vertebral compression fractures are the most common manifestation of osteoporosis. Perc...

Short: Prediction of fetal blood oxygen content in response to partial occlusion of maternal aorta.

Acute hemorrhage in pregnancy may lead to maternal and/or fetal morbidity or mortality. In emergency...

Does robot-assisted percutaneous hollow screw placement combined with tarsal sinus incision reduction in the treatment of calcaneal fracture perform better at a minimum two year follow-up compared with traditional surgical reduction and fixation?

PURPOSE: We aimed to evaluate the safety and efficacy of robot-assisted percutaneous hollow screw pl...

AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMS.

BACKGROUND: The adoption of point-of-care ultrasound (POCUS) has greatly improved the ability to rap...

Evaluation of ensemble strategy on the development of multiple view ankle fracture detection algorithm.

OBJECTIVE: To identify the feasibility and efficiency of deep convolutional neural networks (DCNNs) ...

Building a Machine Learning-based Ambulance Dispatch Triage Model for Emergency Medical Services.

BACKGROUND: In charge of dispatching the ambulances, Emergency Medical Services (EMS) call center sp...

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.

BACKGROUND: AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model o...

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.

PURPOSE: There is a growing body of diagnostic performance studies for emergency radiology-related a...

Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs.

Machine learning (ML) algorithms to detect critical findings on head CTs may expedite patient manage...