Artificial Intelligence Bias in Health Care: Web-Based Survey.

ABSTRACT:

Background

Resources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of diseases. While the need for transparency and reduction of bias in data and algorithm development has been addressed in past studies, little is known about the knowledge and perception of bias among AI developers.

Objective

This study's objective was to survey AI specialists in health care to investigate developers' perceptions of bias in AI algorithms for health care applications and their awareness and use of preventative measures.

Methods

A web-based survey was provided in both German and English language, comprising a maximum of 41 questions using branching logic within the REDCap web application.

SUBMITTER: Vorisek CN 

PROVIDER: S-EPMC10337406 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature