Head Trauma

Usefulness of metal artifact reduction on CT angiography after massive coil embolization in peripheral AVM.

PURPOSE: To evaluate the image quality of three reconstruction methods-filtered back projection (FBP), adaptive statistical iterative reconstruction (AR50), and deep learning-based reconstruction (DL-M)-processed with the Smart Metal Artifact Reduction (SMAR) technique for post-embolization assessment of peripheral arteriovenous malformations (AVMs). MATERIALS AND METHODS: In this prospective sing...

The engagement behaviors and treatment barriers for depressed patients in an online health community: a pre-/post-treatment comparison.

The treatment of depression involves numerous barriers, both before and after individuals seek professional care. Online health communities (OHCs) have emerged as valuable platforms for people coping with depression. We collected 1,585,429 posts from a depression-focus OHC in China between May 2022 and September 2023. Based on both keyword filtering and deep learning classification, we identified ...

A machine learning based framework for identifying consumer product injuries from social media data.

BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product related injuries reported each year. Traditional ...

3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis.

BACKGROUND: Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra-short echo time MRI (UTE-MRI) offers a radiation-free altern...

Anomaly changes in the functional connectome of post-operative neurosurgical patients: A case series.

PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key fiber tracts and improved peri-operative planning...

Deep learning-based image reconstruction significantly improves image quality of MRI examinations of the orbit at 3 Tesla.

PURPOSE: The purpose of this study was to assess the benefit of a deep learning-based image reconstruction (DLBIR) for improving image quality in orbi...

AI landmark versus conventional ultrasound-guided injections for adhesive capsulitis: a prospective, propensity score-matched, superiority study.

AIM: To investigate the artificial Intelligence (AI) landmark for guiding rotator cuff interval injections for adhesive capsulitis (AC). MATERIAL AND ...

Deep learning-based combined noise reduction and contrast enhancement for post-neoadjuvant pancreatic cancer CT: does improved image quality translate to better resectability assessment?

PURPOSE: To evaluate whether deep learning-based combined noise reduction and contrast enhancement reconstruction (DLR) improves image quality and res...

Impact of hypotension prediction index-guided management on intraoperative hypotension and postoperative outcomes in abdominal surgery: A meta-analysis of randomized controlled trials.

BACKGROUND: The Hypotension Prediction Index (HPI) is a machine-learning algorithm designed to predict hypotension. by maintaining mean arterial press...

Systematic post-translational modification genome wide identifies therapeutic targets for Alzheimer's disease: evidence from multi-cohort analysis.

BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, given its profound effects on both society and the ec...

An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma.

Background: Acute Kidney Injury (AKI), a leading organ failure cause in critical patients, demands early high-risk identification to enhance outcomes....

Automatic Follicle Counting From Ultrasound Images of Ovaries Using MARDSE-UNET Model.

Detecting ovarian structures in ultrasound images is essential in gynecological and reproductive medicine. An automated detection system can serve as ...

Comparing the Effectiveness of a Robotic and Dynamic Navigation System in Fiber Post removal: An In Vitro Study.

INTRODUCTION: This in vitro study evaluated the effectiveness of a robotic system (RS) and dynamic navigation system (DNS) compared with the freehand ...

A data-driven modeling approach to prediction of persistent foot drop after gastroc-soleus lengthening surgery in children with cerebral palsy.

BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus deformity in children with cerebral palsy (CP). While ...

Tumoral Skin Invasion Is an Independent Predictor of Rapid Recurrence in Head and Neck Cancer.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is an aggressive malignancy, with 50% of patients recurring. A subset of patients experience...

Artificial Intelligence-Based Algorithms Improve Care of Patients with AAA.

BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial ...

Distinctive Properties of Mla Proteins Differentiate Them From Classical ABC Transporter Components.

In Gram-negative bacteria, the non-canonical ABC transporter, namely, maintenance of lipid asymmetry (Mla) system, ferries phospholipids (PLs) between...

Single Port Robot-Assisted Supraclavicular Flap Repair of Iatrogenic Hardware-Associated Pharyngeal Perforation: A Case Report.

BACKGROUND: The incidence of iatrogenic pharyngeal perforation has been reported to comprise 50%-75% of all pharyngeal perforations. In the context of...

Machine Learning Insights Into Social Determinants Driving Child Abuse in Pediatric Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) are key drivers of health inequities, shaping disparities in patient outcomes that mus...

Unsupervised machine learning to explore inflammation following cardiopulmonary bypass.

IntroductionCardiac surgery with cardiopulmonary bypass (CPB) often induces systemic inflammatory reaction syndrome (SIRS), affecting postoperative ou...