Download full-text PDF

Source

Publication Analysis

Top Keywords

[diagnostic error
4
error x-chromosomal
4
x-chromosomal hereditary
4
hereditary retinoschisis]
4
[diagnostic
1
x-chromosomal
1
hereditary
1
retinoschisis]
1

Similar Publications

Purpose: This study aims to validate and revise the Spot Vision Screener referral criteria for detecting amblyopia risk factors (ARFs), visually significant refractive error (VSRE), and amblyopia.

Methods: In clinics, we gathered data from children aged 12 months to 7 years. The validity of the cut-off values was assessed using receiver operating characteristic (ROC) curves, with cycloplegic retinoscopy serving as a reference.

View Article and Find Full Text PDF

Background The emergence of treatment-resistant species has highlighted the importance of antifungal susceptibility testing as it is difficult to determine therapeutics solely based on species identification. However, as compared to bacterial pathogens, antimicrobial susceptibility testing in fungi still remains underutilized in most clinical diagnostic microbiological services. The disc diffusion (DD) technique is reported to be easy and cost-effective and therefore can be easily incorporated as a routine method.

View Article and Find Full Text PDF

Transcranial ultrasound stimulation (TUS) presents challenges in ultrasound wave transmission through the skull, affecting study outcomes due to aberration and attenuation. While planning strategies incorporating 3D computed tomography (CT) scans help mitigate these issues, they expose participants to radiation, which can raise ethical concerns. A solution involves generating skull masks from participants' anatomical magnetic resonance imaging (MRI).

View Article and Find Full Text PDF

Background: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores the use of GANs to generate synthetic sagittal radiographs from coronal views in AIS patients.

View Article and Find Full Text PDF

Objectives: This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.

Materials And Methods: We involved eight residents evaluating 150 CXRs in three scenarios: no AI, on-demand AI, and integrated-AI. The considered task was the assessment of a multi-regional severity score of lung compromise in patients affected by COVID-19.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!