Medicare

Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability.

Various vision-threatening eye diseases including age-related macular degeneration (AMD) and central serous chorioretinopathy (CSCR) are caused due to the dysfunctions manifested in the highly vascular choroid layer of the posterior segment of the eye. In the current clinical practice, screening choroidal structural changes is widely based on optical coherence tomography (OCT) images. Accordingly,...

Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentation.

Over the past years, convolutional neural networks based methods have dominated the field of medical image segmentation. But the main drawback of these methods is that they have difficulty representing long-range dependencies. Recently, the Transformer has demonstrated super performance in computer vision and has also been successfully applied to medical image segmentation because of the self-atte...

Camera Arrangement Optimization for Workspace Monitoring in Human-Robot Collaboration.

Human-robot interaction is becoming an integral part of practice. There is a greater emphasis on safety in workplaces where a robot may bump into a wo...

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling.

Deep learning-based variant callers are becoming the standard and have achieved superior single nucleotide polymorphisms calling performance using lon...

End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost.

Path planning plays an important role in navigation and motion planning for robotics and automated driving applications. Most existing methods use ite...

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.

Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient management. A core component of advancing cancer trea...

Machine learning applications for transcription level and phenotype predictions.

Predicting phenotypes and complex traits from genomic variations has always been a big challenge in molecular biology, at least in part because the ta...

Two efficient selection methods for high-dimensional CD-CAT utilizing max-marginals factor from MAP query and ensemble learning approach.

Computerized adaptive testing for cognitive diagnosis (CD-CAT) needs to be efficient and responsive in real time to meet practical applications' requi...

E-Cardiac Care: A Comprehensive Systematic Literature Review.

The Internet of Things (IoT) is a complete ecosystem encompassing various communication technologies, sensors, hardware, and software. IoT cutting-edg...

Construction of College Students' Employment Quality Evaluation Model System under the Background of Digitalization.

In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Co...

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model.

With the continuous development of deep learning, more and more domains use deep learning technique to solve key problems. The security issues of deep...

Network Architecture for Intelligent Identification of Faults in Rabbit Farm Environment Monitoring Based on a Biological Neural Network Model.

Currently, livestock and poultry farming is gradually developing towards modernization and scale, and closed livestock and poultry farms are widely us...

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.

Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which increases at the end of work shifts. In this study,...

Mobile Robot Application with Hierarchical Start Position DQN.

Advances in deep learning significantly affect reinforcement learning, which results in the emergence of Deep RL (DRL). DRL does not need a data set a...

PassTCN-PPLL: A Password Guessing Model Based on Probability Label Learning and Temporal Convolutional Neural Network.

The frequent incidents of password leakage have increased people's attention and research on password security. Password guessing is an essential part...

Scoping review of the current landscape of AI-based applications in clinical trials.

BACKGROUND: Clinical trials are essential for bringing new drugs, technologies and procedures to the market and clinical practice. Considering the des...

A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications.

In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment planning is needed to improve the translation potential to clinical tri...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As...

Fast VMAT planning for prostate radiotherapy: dosimetric validation of a deep learning-based initial segment generation method.

. To develop and evaluate a deep learning based fast volumetric modulated arc therapy (VMAT) plan generation method for prostate radiotherapy.. A cust...

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, which can be used to prevent temperature crises. Most...