Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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iCatcher: A neural network approach for automated coding of young children's eye movements.

Infants' looking behaviors are often used for measuring attention, real-time processing, and learnin...

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).

Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in...

DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.

Recent advances in next-generation sequencing technologies have led to the successful insertion of v...

On the relationship between predictive coding and backpropagation.

Artificial neural networks are often interpreted as abstract models of biological neuronal networks,...

Personalized Smart Clothing Design Based on Multimodal Visual Data Detection.

In the traditional clothing customization system, only the designer participates in the clothing des...

Analysis of Sports Video Intelligent Classification Technology Based on Neural Network Algorithm and Transfer Learning.

With the rapid development of information technology, digital content shows an explosive growth tren...

Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception.

IntelliSense fabrics that can sense transient mechanical stimuli are widely anticipated in flexible ...

Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis.

Intelligent fault diagnosis (IFD) has experienced tremendous progress owing to a great deal to deep ...

Machine learning to detect invalid text responses: Validation and comparison to existing detection methods.

A crucial step in analysing text data is the detection and removal of invalid texts (e.g., texts wit...

Polysomal mRNA Association and Gene Expression in .

: The contrasting physiological environments of   procyclic (insect vector) and bloodstream (mammali...

Orthogonal representations for robust context-dependent task performance in brains and neural networks.

How do neural populations code for multiple, potentially conflicting tasks? Here we used computation...

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students.

Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applicatio...

A Self-Powered Triboelectric Hybrid Coder for Human-Machine Interaction.

Human-machine interfaces have penetrated various academia and industry fields such as smartphones, r...

Comparison of different feature extraction methods for applicable automated ICD coding.

BACKGROUND: Automated ICD coding on medical texts via machine learning has been a hot topic. Related...

Tiled Sparse Coding in Eigenspaces for Image Classification.

The automation in the diagnosis of medical images is currently a challenging task. The use of Comput...

RegVar: Tissue-specific Prioritization of Non-coding Regulatory Variants.

Non-coding genomic variants constitute the majority of trait-associated genome variations; however, ...

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