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Cultural Competence

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

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The Sins of the Parents Are to Be Laid Upon the Children: Biased Humans, Biased Data, Biased Models.

Technological innovations have become a key driver of societal advancements. Nowhere is this more ev...

Mitigating bias in AI at the point of care.

Promoting equity in AI in health care requires addressing biases at cli nical implementation.

TRUST-TECH-Based Systematic Search for Multiple Local Optima in Deep Neural Nets.

Training deep neural networks (DNNs) rested heavily on efficient local solvers. Due to their local p...

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs).

Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of qu...

Intrinsic neural diversity quenches the dynamic volatility of neural networks.

Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are myriad, ref...

Can the Electronic Health Record Predict Risk of Falls in Hospitalized Patients by Using Artificial Intelligence? A Meta-analysis.

Because of an aging population worldwide, the increasing prevalence of falls and their consequent in...

Predictive Uncertainty Estimation for Camouflaged Object Detection.

Uncertainty is inherent in machine learning methods, especially those for camouflaged object detecti...

Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents.

OBJECTIVES: Considering the importance of social determinants of health (SDHs) in promoting the heal...

Deep learning approaches to landmark detection in tsetse wing images.

Morphometric analysis of wings has been suggested for identifying and controlling isolated populatio...

Digital Education for the Deployment of Artificial Intelligence in Health Care.

Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...

Artificial Intelligence Bias in Health Care: Web-Based Survey.

BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical a...

Characterizing Uncertainty in Machine Learning for Chemistry.

Characterizing uncertainty in machine learning models has recently gained interest in the context of...

An investigation into the risk of population bias in deep learning autocontouring.

BACKGROUND AND PURPOSE: To date, data used in the development of Deep Learning-based automatic conto...

Transformer-Based Approach Via Contrastive Learning for Zero-Shot Detection.

Zero-shot detection (ZSD) aims to locate and classify unseen objects in pictures or videos by semant...

A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning.

Accurate planning of transcatheter aortic valve implantation (TAVI) is important to minimize complic...

HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.

High performance of deep learning models on medical image segmentation greatly relies on large amoun...

A CMOS Temperature Sensor with a Smart Calibrated Inaccuracy of ±0.11 (3σ).

This paper presents a BJT-based smart CMOS temperature sensor. The analog front-end circuit contains...

[The Perspectives of Stakeholders on Users of Care Robotics at the Intersection of Age and Gender - Results of a Qualitative Analysis].

Having to face the challenges posed by a shortage of skilled care workers and an increasing number o...

AI and machine learning ethics, law, diversity, and global impact.

Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for p...

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