Publications by authors named "Xinghui Fu"
Objective: This study aimed to assess the impact of gestational diabetes mellitus (GDM) on fetal heart structure and function using a technique called fetal heart quantification (Fetal HQ), with a focus on mitochondrial dynamics, which employs advanced imaging technology for comprehensive analysis.
Methods: A total of 180 fetuses with normal heart structures, aged 24-40 weeks of gestation, were examined. A 2-3 s cine loop in the standard four-chamber oblique view was captured and analyzed using the speckle-tracking technique with Fetal HQ.
Article Synopsis
- Artificial Intelligence (AI) in colonoscopy can enhance the detection of polyps and adenomas, potentially reducing missed diagnoses, but its effectiveness needs further validation due to previous reliance on limited datasets.
- A study developed and tested a deep learning-based Computer-Assisted Detection (CADe) system using over 71,000 high-quality images collected from 20 different centers, aiming for improvement in real-time polyp identification during clinical procedures.
- The results showed that CADe achieved high sensitivity (98.4%) and specificity in identifying polyps during colonoscopies, outperforming traditional methods, although issues like light reflections and fecal fluid caused some false positives.
Parkinson's disease (PD) is a disorder characterized by a progressive loss of the dopaminergic neurons in the substantia nigra and a depletion of the neurotransmitter dopamine in the striatum. Our published results indicate that fasciculation and elongation protein zeta-1 (FEZ1) plays a role in the astrocyte-mediated protection of dopamine neurons and regulation of the neuronal microenvironment during the progression of PD. In this study, we examined the effects of engrafted type-2 astrocytes (T2As) with high expression of FEZ1 on the improvement of the symptoms and functional reconstruction of PD rats.
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