Cultural Competence

Bias-Eliminated Semantic Refinement for Any-Shot Learning.

When training samples are scarce, the semantic embedding technique, i. e., describing class labels w...

Using artificial intelligence methods for systematic review in health sciences: A systematic review.

The exponential increase in published articles makes a thorough and expedient review of literature i...

Blinded intraoperative skill evaluations avoid gender-based bias.

INTRODUCTION: Gender bias has been identified consistently in written performance evaluations. Quali...

Effects of Irbesartan and Amlodipine Besylate Tablets on the Intestinal Microflora of Rats With Hypertensive Renal Damage.

The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on...

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.

During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have beco...

Impact of Clinical and Genomic Factors on COVID-19 Disease Severity.

To date, there have been 180 million confirmed cases of COVID-19, with more than 3.8 million deaths,...

Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.

Unhealthy alcohol use represents a major economic burden and cause of morbidity and mortality in the...

Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.

Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about u...

Framework for Integrating Equity Into Machine Learning Models: A Case Study.

Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...

Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation.

The application of deep learning to generative molecule design has shown early promise for accelerat...

Bias In, Bias Out: Ethical Considerations for the Application of Machine Learning in Pediatrics.

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...

Machine Learning Reimagined: The Promise of Interpretability to Combat Bias.

A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.

Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in th...

AI in health and medicine.

Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experi...

Functional Diversity of Primed Platelets-Powered by Machine Learning.

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.

Till March 31st, 2021, the coronavirus disease 2019 (COVID-19) had reportedly infected more than 127...

Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning - Success story or dataset bias?

PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several aut...

Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.

A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired ...

Trustworthy Augmented Intelligence in Health Care.

Augmented Intelligence (AI) systems have the power to transform health care and bring us closer to t...

Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications.

A granular structure of intuitionistic fuzzy (IF) information presents simultaneously the similarity...