The use of artificial intelligence to aid the diagnosis of lung cancer - A retrospective-cohort study.

Journal: Radiography (London, England : 1995)

PMID: 39890480

Abstract

INTRODUCTION: AI software in the form of deep learning-based automatic detection (DLAD) algorithms for chest X-ray (CXR) interpretation have shown success in early detection of lung cancer (LC), however, there remains uncertainty related to clinical validation.

Authors

J R Tugwell-Allsup

Betsi Cadwaladr University Health Board, Radiology Department, Penrhosgarnedd Road, Bangor, Gwynedd, LL57 2PW, UK. Electronic address: Jenna.R.Allsup@wales.nhs.uk.
B W Owen

Betsi Cadwaladr University Health Board, Radiology Department, Penrhosgarnedd Road, Bangor, Gwynedd, LL57 2PW, UK. Electronic address: BethanWyn.Owen@wales.nhs.uk.
R Hibbs

Statistical Support by Integral Business Support Limited, Wrexham, UK. Electronic address: richard.hibbs@extra-ibs.com.
A England

The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.

Keywords

Aged Aged, 80 and over Algorithms Artificial Intelligence Deep Learning Early Detection of Cancer Female Humans Lung Neoplasms Male Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Retrospective Studies Sensitivity and Specificity Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (39890480)

The use of artificial intelligence to aid the diagnosis of lung cancer - A retrospective-cohort study.

Abstract

Authors

Keywords

External Resources

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