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Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

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Deep learning-based hemorrhage detection for diabetic retinopathy screening.

Diabetic retinopathy is a retinal compilation that causes visual impairment. Hemorrhage is one of th...

Avoiding bias in artificial intelligence.

Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly ad...

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm.

The early, valid prediction of heart problems would minimize life threats and save lives, while lack...

Machine Learning and Health Care: Potential Benefits and Issues.

We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve healt...

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation.

Auxiliary clinical diagnosis has been researched to solve unevenly and insufficiently distributed cl...

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Using computer vision through artificial intelligence (AI) is one of the main technological advances...

Computational Predictions of Nonclinical Pharmacokinetics at the Drug Design Stage.

Although computational predictions of pharmacokinetics (PK) are desirable at the drug design stage, ...

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tas...

Population codes enable learning from few examples by shaping inductive bias.

Learning from a limited number of experiences requires suitable inductive biases. To identify how in...

Accuracy and data efficiency in deep learning models of protein expression.

Synthetic biology often involves engineering microbial strains to express high-value proteins. Thank...

Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning.

The control of porcine reproductive and respiratory syndrome (PRRS) remains a significant challenge ...

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.

Advances in computer science and data-analytic methods are driving a new era in mental health resear...

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record t...

Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent responsible ...

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Neural architecture search (NAS) is gaining more and more attention in recent years because of its f...

Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models.

The huge number of network traffic data, the abundance of available network features, and the divers...

Priorities for successful use of artificial intelligence by public health organizations: a literature review.

Artificial intelligence (AI) has the potential to improve public health's ability to promote the hea...

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