Back to search

Article

Prevalence of AI findings on Chest X-ray in patients with lung cancer: a cross-sectional cohort study

2024-12-21

Abstract excerpt

<h4>Background</h4> Chest X-ray Radiography (CXR) is the primary investigation for patients with potential symptoms of lung cancer in the UK. Artificial intelligence (AI) can detect abnormalities on CXR and prioritise cases for reporting. We describe a method to determine which AI findings are associated with lung cancer to inform and validate prioritisation strategies. <h4>Methods</h4> This multicentre study comp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
dc23969b-1aa6-58e9-87ec-2c5fc7012f3c
DOI
10.1101/2024.12.20.24319410
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Prevalence of AI findings on Chest X-ray in patients with lung cancer: a cross-sectional cohort studyDOI 10.1101/2024.12.20.24319410
Cost-effectiveness of immediate prioritisation of chest X-rays using artificial intelligence in lung cancer in England: the LungIMPACT studySemantic proximity
Application of Artificial Intelligence in Chest X-ray for Assessing Lung Nodule Malignancy Risk in Comparison to Computed TomographySemantic proximity
External Validation of an Artificial Intelligence Triaging System for Chest X-Rays: A Retrospective Independent Clinical StudySemantic proximity
A Retrospective Multi-Source Clinical Validation of Lenek Intelligent Radiology Assistant: An Artificial Intelligence-Based Chest Radiograph Screening and Triage System for High-Burden Pulmonary and Cardiac Conditions in IndiaSemantic proximity
A preliminary study of commercially available general-purpose chest radiography artificial intelligence-based software for detecting airspace opacity lesions in COVID-19 patientsSemantic proximity
Evaluation of the ‘qXR’ Software for the Detection of Pulmonary Nodules and Signs Suggestive of Heart Failure: A Comparative Analysis in a Latin American General HospitalSemantic proximity
AI-Based Computational Pathology for Precision Lung Cancer Management: A Systematic Review and Meta-Analysis of Diagnostics and Prognostic AlgorithmsSemantic proximity
Evaluating the Diagnostic Performance of ChatGPT-4o Mini in the Classification of Chest X-Ray PathologiesSemantic proximity
Machine Learning for Pneumothorax in Trauma victims: cross-sectional validation study (PneumoDetect)Semantic proximity
Leveraging Deep Learning of Chest Radiograph Images to Identify Individuals at High Risk for Chronic Obstructive Pulmonary DiseaseSemantic proximity
Unexpectedly Benign Pulmonary Nodules Using Machine LearningSemantic proximity
Automated Derivation of Diagnostic Criteria for Lung Cancer using Natural Language Processing on Electronic Health Records: A pilot studySemantic proximity
Select a neighboring publication to make it the new centre.