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

Kirill Arzamasov Yuri Aleksandrovich Vasilev Maria Zelenova Lev Pestrenin Yulia Busygina Tatiana Bobrovskaya Sergey Chetverikov David ShikhmuradovAndrey PankratovYury Kirpichev Valentin E Sinitsyn Irina Son Olga V Omelyanskaya

Published in: Quantitative imaging in medicine and surgery (2024)

To ensure the reliability and applicability of AI-based software, it is crucial to validate performance metrics using high-quality datasets and engage radiologists in the evaluation process. Developers are recommended to improve the accuracy of the underlying models before allowing the standalone use of the software for lung nodule detection. The dataset created during the study may be accessed at https://mosmed.ai/datasets/mosmeddatargogksnalichiemiotsutstviemlegochnihuzlovtipvii/.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
data analysis
rna seq
loop mediated isothermal amplification
real time pcr