Cultural Competence

Analysis of 3D pathology samples using weakly supervised AI.

Human tissue, which is inherently three-dimensional (3D), is traditionally examined through standard...

Anglo-American bias could make generative AI an invisible intellectual cage.

Judging robot ability: How people form implicit and explicit impressions of robot competence.

Robots' proliferation throughout society offers many opportunities and conveniences. However, our ab...

Understanding and Mitigating Bias in Imaging Artificial Intelligence.

Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, w...

Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence.

Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models.

OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (E...

Affiliation Bias in Peer Review of Abstracts.

Affiliation Bias in Peer Review of Abstracts-Reply.

Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.

Machine learning (ML)-based risk prediction models hold the potential to support the health-care set...

An intentional approach to managing bias in general purpose embedding models.

Advances in machine learning for health care have brought concerns about bias from the research comm...

Semisupervised transfer learning for evaluation of model classification performance.

In many modern machine learning applications, changes in covariate distributions and difficulty in a...

Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions.

This perspective highlights the importance of addressing social determinants of health (SDOH) in pat...

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

Machine learning (ML) algorithms play a crucial role in the early and accurate diagnosis of Alzheime...

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations.

Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising aware...

Reducing bias in healthcare artificial intelligence: A white paper.

Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no c...

[AI based Evaluation of Psychotrauma related to Lahars in the Commune of Prêcheur in the French Antilles].

Objectives Natural disasters have a significant impact on mental health. Data collected from the pop...

AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) ca...

CLINICAL REASONING AND ARTIFICIAL INTELLIGENCE: CAN AI REALLY THINK?

Artificial intelligence (AI) in the form of ChatGPT has rapidly attracted attention from physicians ...

Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.

This prospective exploratory study conducted from January 2023 through May 2023 evaluated the abilit...

A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology.

Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...