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Cultural Competence

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

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“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”

Estimating causal effects in observational health data is challenging due to confounding by indicati...

Evaluating anti-LGBTQIA+ medical bias in large language models

Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from p...

Scaling Sensor Metadata Extraction for Exposure Health Using LLMs

The rapid evolution and diversity of sensor technologies, coupled with inconsistencies in how sensor...

Assessment of Bias in Clinical Trials with LLMs Using ROBUST-RCT: A Feasibility Study

Bias assessment is a crucial step in evaluating evidence from randomized controlled trials. The wide...

Towards Participatory Precision Health: Systematic Review and Co-designed Guidelines For Adolescent Just-in-time Adaptive Interventions

Adolescence and young adulthood (10-25 years) constitute a sensitive developmental period marked by ...

Automation Bias in Large Language Model Assisted Diagnostic Reasoning Among AI-Trained Physicians

Large language models (LLMs) show promise for improving clinical reasoning, but they also risk induc...

Factors influencing the trustworthiness of non-randomized studies of interventions: a survey of international experts

Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, includin...

Privacy-Enhancing Sequential Learning under Heterogeneous Selection Bias in Multi-Site EHR Data

To develop privacy-enhancing statistical methods for estimation of binary disease risk model associa...

Oral Rinse Sourced Microbiota in Oral Health and Disease in a Representative U.S. Adult Population

This study reports genus-level oral rinse microbiota profiles in a population of 3,770 U.S. adults f...

Correcting Algorithmic Bias in Machine Learning Prediction of Healthcare utilization in India

This study investigates how historical disparities in healthcare access influence machine learning (...

Artificial Intelligence Models for Predicting Molecular Pathway Activity in Spinal Cord Injury: A Systematic Review

Spinal cord injury (SCI) remains a devastating neurological condition with high global incidence and...

Benchmarking Large Language Models and Clinicians Using Locally Generated Primary Healthcare Vignettes in Kenya

Large language models (LLMs) show promise on healthcare tasks, yet most evaluations emphasize multip...

A Scoping Review of Algorithmic Equity, Data Diversity, and Inclusive Design in the Transformer Era of Clinical NLP

The rapid digitization of healthcare has positioned transformer-based natural language processing (N...

Pretraining Diversity and Clinical Metric Optimization Achieve State-of-the-Art Performance on ChestX-ray14

We achieved state-of-the-art performance on the NIH ChestX-ray14 multi-label classification task usi...

Recognizing “Conformity Bias” in Large Language Models: A New Risk for Clinical Use

The aim of the present study is to systematically investigate the phenomenon of Conformity Bias in c...

The Application of Artificial Intelligence in Healthcare Practice: An Umbrella Review

Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supp...

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