Cultural Competence

The role of the microbiota-gut-brain axis and artificial intelligence in cognitive health of pediatric obstructive sleep apnea: A narrative review.

Pediatric obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder associated w...

Artificial Intelligence in Early Childhood Caries Detection and Prediction: A Systematic Review and Meta-Analysis.

To conduct a systematic review of artificial intelligence (AI) in aiding clinicians with the predic...

Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.

Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze large imag...

Gender and ethnicity bias in generative artificial intelligence text-to-image depiction of pharmacists.

INTRODUCTION: In Australia, 64% of pharmacists are women but continue to be under-represented. Gener...

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.

OBJECTIVE: Artificial intelligence (AI) models trained using medical images for clinical tasks often...

Precision DNA methylation typing via hierarchical clustering of Nanopore current signals and attention-based neural network.

Decoding DNA methylation sites through nanopore sequencing has emerged as a cutting-edge technology ...

Diagnostic Accuracy of AI Algorithms in Aortic Stenosis Screening: A Systematic Review and Meta-Analysis.

Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. ...

How Data Infrastructure Deals with Bias Problems in Medical Imaging.

The paper discusses biases in medical imaging analysis, particularly focusing on the challenges pose...

Exploring the Intersection of AI and Inclusive Design for People with Disabilities.

This scoping review examines current research on AI for inclusive design for people with disabilitie...

Pitfalls of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with chal...

Generative artificial intelligence and the personalization of health professional education: A narrative review.

This narrative review examined the intersection of generative artificial intelligence (GAI) and the ...

Overcoming "Fear of AI" Bias: Insights from the Technology Acceptance Model.

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursi...

On Human to Robot Skill Transfer for the Execution of Complex Tactile American Sign Language Tasks with a Bimanual Robot Platform.

An estimated 0.2% of the world population is living with severe deafblindness with approximately ~1....

Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogenei...

Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction.

BACKGROUND: This study evaluated whether generative artificial intelligence (AI)-based augmentation ...

Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.

Machine learning models hold great promise with medical applications, but also give rise to a series...

Artificial Intelligence in Health Care: Opportunities, Challenges, and the Road Ahead.

A comprehensive, collective approach to navigating the challenges of bias, privacy, and ethical cons...

Image-based recognition of parasitoid wasps using advanced neural networks.

Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these...

Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review.

The convergence of digital pathology and artificial intelligence could assist histopathology image a...

The Risks and Challenges of Artificial Intelligence in Endocrinology.

Artificial intelligence (AI) holds the promise of addressing many of the numerous challenges healthc...