Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation

Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation

Background Lung cancer is one of the most common types of cancer and the leading cause of cancer death in the United Kingdom. Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on computed tomography images. Objective  To assess the...

Full description

Saved in:
Bibliographic Details
Main Authors: Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen
Format: Article
Language:English
Published: NIHR Journals Library 2025-05-01
Series:Health Technology Assessment
Subjects:
artificial intelligence
lung neoplasms
early detection of cancer
tomography
x-ray computed
software
systematic review
cost-effectiveness analysis
Online Access:https://doi.org/10.3310/JYTW8921
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items