Integrating artificial intelligence into lung cancer screening: a randomised controlled trial protocol.

ABSTRACT:

Introduction

Lung cancer (LC) is the most common cause of cancer-related deaths worldwide. Its early detection can be achieved with a CT scan. Two large randomised trials proved the efficacy of low-dose CT (LDCT)-based lung cancer screening (LCS) in high-risk populations. The decrease in specific mortality is 20%-25%.Nonetheless, implementing LCS on a large scale faces obstacles due to the low number of thoracic radiologists and CT scans available for the eligible population and the high frequency of false-positive screening results and the long period of indeterminacy of nodules that can reach up to 24 months, which is a source of prolonged anxiety and multiple costly examinations with possible side effects.Deep learning, an artificial intelligence solution has shown promising res

SUBMITTER: Benzaquen J 

PROVIDER: S-EPMC10868245 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature