Reform

Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images.

AIMS: To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior segment optical coherence tomography (AS-OCT) images and compare the reproducibility of anterior chamber angle (ACA) width between deep learning located SS (DLLSS) and manually plotted SS (MPSS).

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things.

To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the Internet of Things (IoT). At first, a discussion is made on the characteristics of history course, which is combined with the characteristics of teaching data easy to collect under the background of IoT. An analysis is conducted on the related theory ...

DRG grouping by machine learning: from expert-oriented to data-based method.

BACKGROUND: Diagnosis-related groups (DRGs) are a payment system that could effectively solve the problem of excessive increases in healthcare costs w...

Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm.

Since the reform and opening up, China's regional economy has developed rapidly. However, due to different starting points of economic development cau...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students...

Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network.

In the human resource system of modern enterprises, human-post matching big data occupies an important irreplaceable position. With the deepening of t...

Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco.

Education is the cultivation of people to promote and guarantee the development of society. Education reforms can play a vital role in the development...

Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural...

Angle-closure assessment in anterior segment OCT images via deep learning.

Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of an...

Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in digital PCR (dPCR), this information is typically n...

Artificial Intelligence: The Future for Diabetes Care.

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and man...

Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.

In line with the current trajectory of healthcare reform, significant emphasis has been placed on improving the utilization of data collected during a...

Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification.

Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera views. To represent person appearance, low-level vi...

Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Several studies have reported a conflicting association between vitamin D deficiency, vitamin D receptor (VDR) polymorphism, and the risk of cardiovas...

Update: healthcare reform - it's getting personal.

SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification.

BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the basis to identify the two main classes of small nu...

Automated Segmentation of Intracranial Arteries on 4D Flow MRI for Hemodynamic Quantification

Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Automated segmentation with deep learning offers a p...

Patterns of preventable death and government response compliance across Australian coronial jurisdictions: a natural language processing analysis of 9833 findings

ABSTRACT Objectives: To quantify patterns of preventable death in Australian coronial findings, measure government compliance with coroner recommendat...

Reproductive health and the Vatican.

Following the repositioning of the Holy See on diverse issues, it is now expected that Pope Leo XIV will further advance policies pertaining to sexual...

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality

This position paper argues that Mean Opinion Score (MOS), while historically foundational, is no longer sufficient as the sole supervisory signal fo...