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Dataset Information

Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays.


ABSTRACT:

Background

The integration of artificial intelligence (AI) into medicine is growing, with some experts predicting its standalone use soon. However, skepticism remains due to limited positive outcomes from independent validations. This research evaluates AI software's effectiveness in analyzing chest X-rays (CXR) to identify lung nodules, a possible lung cancer indicator.

Methods

This retrospective study analyzed 7,670,212 record pairs from radiological exams conducted between 2020 and 2022 during the Moscow Computer Vision Experiment, focusing on CXR and computed tomography (CT) scans. All images were acquired during clinical routine. The final dataset comprised 100 CXR images (50 with lung nodules, 50 without), selected consecutively and based on inclusion and exclusion cri

SUBMITTER: Arzamasov K 

PROVIDER: S-EPMC11320553 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature