Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretati

Authors

Mark Hall (ORCID: https://orcid.org/0000-0002-6310-0872)
Olívia Wu (ORCID: https://orcid.org/0000-0002-0570-6016)
John D. Maclay (ORCID: https://orcid.org/0000-0002-2531-7712)
Dennis Robert (ORCID: https://orcid.org/0000-0002-8539-6408)
Sean F Duncan (ORCID: https://orcid.org/0009-0007-0802-054X)
James D. Blackwood
Evi Germeni (ORCID: https://orcid.org/0000-0001-5576-8816)
Alex McConnachie (ORCID: https://orcid.org/0000-0002-7262-7000)
David J. Lowe (ORCID: https://orcid.org/0000-0003-4866-2049)
Banu Bilgili
Shamie Kumar
David Stobo

Institutions

NHS Greater Glasgow and Clyde (GB)
Glasgow Royal Infirmary (GB)
Queen Elizabeth University Hospital (GB)
University of Glasgow (GB)

Publication Details

Journal: BMJ Open
Published: 2024-09-01
DOI: https://doi.org/10.1136/bmjopen-2023-081062
Citations: 8
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 3.23

Funders

Scottish Government

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretati

Mark Hall, Olívia Wu, John D. Maclay, Dennis Robert et al.

Sep 1, 2024

8 citations

BMJ Open

Radiomics and Machine Learning in Medical Imaging

3.23

article

Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretati

Mark Hall, Olívia Wu, John D. Maclay, Dennis Robert, Sean F Duncan, James D. Blackwood, Evi Germeni, Alex McConnachie, David J. Lowe, Banu Bilgili, Shamie Kumar, David Stobo

September 1, 2024article en

8 citations

Abstract

No abstract available for this paper.

BMJ OpenVol. 14(9)

NHS Greater Glasgow and Clyde (GB), Glasgow Royal Infirmary (GB), Queen Elizabeth University Hospital (GB), University of Glasgow (GB)

Scottish Government

Openalex Percentile: Top 8%

Radiomics and Machine Learning in Medical Imaging

3.23

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.