AIMC Topic: Algorithms

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Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccin...

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.

Journal of medical ethics
BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race).

Driver Steering Intention Prediction for Human-Machine Shared Systems of Intelligent Vehicles Based on CNN-GRU Network.

Sensors (Basel, Switzerland)
In order to mitigate human-machine conflicts and optimize shared control strategy in advance, it is essential for the shared control system to understand and predict driver behavior. This paper proposes a method for predicting driver steering intenti...

[AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: We propose a multi-scale jaw cyst segmentation model, AConvLSTM U-Net, which is based on bidirectional dense connections and attention mechanisms to achieve accurate automatic segmentation of mandibular cyst images.

Scmaskgan: masked multi-scale CNN and attention-enhanced GAN for scRNA-seq dropout imputation.

BMC bioinformatics
Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of cellular heterogeneity, but dropout events, where gene expression is undetected in individual cells, present a significant challenge. We propose scMASKGAN, which transforms ma...

Automated cell structure extraction for 3D electron microscopy by deep learning.

Scientific reports
Modeling the 3D structures of cells and tissues is crucial in biology. Sequential cross-sectional images from electron microscopy provide high-resolution intracellular structure information. The segmentation of complex cell structures remains a labor...

Context-aware data augmentation for enhanced speech command recognition in industrial environments.

Scientific reports
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel. In Industry 4.0, speech-based communication can significantly enhance productivity and efficiency on production lines. However, deploying a Speech Co...

Prioritizing disability support systems by using Tamir's complex fuzzy Dombi aggregation operators.

Scientific reports
Fuzzy sets can model the inherent ambiguity and subjectivity in disability assessment by allowing for flexible classification and decision-making. This contributes to the development of flexible clinical support systems that are effective in meeting ...

Mapping the Edges of Mass Spectral Prediction: Evaluation of Machine Learning EIMS Prediction for Xeno Amino Acids.

Analytical chemistry
Mass spectrometry is one of the most effective analytical methods for unknown compound identification. By comparing observed / spectra with a database of experimentally determined spectra, this process identifies compound(s) in any given sample. Unkn...

Artificial Intelligence in Molecular Optimization: Current Paradigms and Future Frontiers.

International journal of molecular sciences
Molecular optimization plays a pivotal role in many domains since it holds promise for improving the properties of lead molecules. The advent of artificial intelligence (AI)-driven molecular optimization has revolutionized lead optimization workflows...