Article

Artificial Intelligence for Low-Dose CT Lung Cancer Screening: A Systematic Review of Deep Learning, Input Dimensionality, Workflow Integration, and Foundation Models

2026-06-16

Abstract excerpt

<h4>Background: </h4> /Objectives: Low-dose CT (LDCT) screening reduces lung cancer mortality, but implementation is limited by high false-positive rates, inter-reader variability, and increasing radiologist workload. Deep learning may address these challenges, yet there is limited consensus on how input dimensionality and model architecture should be selected for LDCT screening. We systematically review AI method...

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Literature Corpus work: 28006cf3-bcab-5d08-9e2b-edaf4384598c
DOI: 10.20944/preprints202606.1208.v1

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