Cultural Competence

Artificial intelligence and algorithmic bias: implications for health systems.

A guide to machine learning for bacterial host attribution using genome sequence data.

With the ever-expanding number of available sequences from bacterial genomes, and the expectation th...

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.

Diabetic retinopathy (DR) is one kind of eye disease that is caused by overtime diabetes. Lots of pa...

Algorithmic Bias and Computer-Assisted Scoring of Patient Notes in the USMLE Step 2 Clinical Skills Exam.

Social robotics and the modulation of social perception and bias.

The field of social robotics offers an unprecedented opportunity to probe the process of impression ...

Application of artificial intelligence in gastroenterology.

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technol...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

MOTIVATION: Understanding the specificity of protein receptor-ligand interactions is pivotal for our...

Learning From Peers' Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning.

Existing research shows that people can improve their decision skills by learning what experts paid ...

Bias in Artificial Intelligence.

Benefits, Pitfalls, and Potential Bias in Health Care AI.

As the health care industry adopts artificial intelligence, machine learning, and other modeling tec...

On the Potential for Open-Endedness in Neural Networks.

Natural evolution gives the impression of leading to an open-ended process of increasing diversity a...

Engineering Bias in AI.

After working at Apple designing circuits and signal processing algorithms for products including th...

Efficient inference for time-varying behavior during learning.

The process of learning new behaviors over time is a problem of great interest in both neuroscience ...

PathwaySplice: an R package for unbiased pathway analysis of alternative splicing in RNA-Seq data.

SUMMARY: Pathway analysis of alternative splicing would be biased without accounting for the differe...

Bias detectives: the researchers striving to make algorithms fair.

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

Motivated by the great potential of deep learning in medical imaging, we propose an iterative positr...

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.

In this paper, we propose a structural framework for population-based cancer epidemiology and evalua...

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

The use of retrospective health care claims datasets is frequently criticized for the lack of comple...

Expectations for the Next Generation of Simulated Patients Born from Thoughtful Anticipation of Artificial Intelligence-Equipped Robot.

It is predicted that in the near future robot simulated patients (SPs) will come into use. Through t...

Chemical-gene relation extraction using recursive neural network.

In this article, we describe our system for the CHEMPROT task of the BioCreative VI challenge. Altho...