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BMJ Quality & Safety
|
November 26, 2024
The problem with uptake as a quality metric for population-based screening programmes
Natalie Armstrong, Sian Taylor-Phillips
The Lancet. Digital Health
|
June 24, 2022
Artificial intelligence to complement rather than replace radiologists in breast screening
Sian Taylor-Phillips, Karoline Freeman
The British Journal of Radiology
|
April 2, 2019
Fatigue in radiology: a fertile area for future research
Sian Taylor-Phillips, Chris Stinton
BMJ (Clinical Research Ed.)
|
July 8, 2021
Asymptomatic rapid testing for SARS-CoV-2
Sian Taylor-Phillips, Jacqueline Dinnes
The British Journal of Radiology
|
October 17, 2019
Double reading in breast cancer screening: considerations for policy-making
Sian Taylor-Phillips, Chris Stinton
Journal of Experimental Psychology. Applied
|
October 5, 2020
Double reading reduces miss errors in low prevalence search
Melina A Kunar, Derrick G Watson, Sian Taylor-Phillips
European Radiology
|
February 25, 2021
Optimum screening mammography reading volumes: evidence from the NHS Breast Screening Programme
Eleanor Cornford, Shan Cheung, Mike Press, et al.
European Journal of Radiology
|
February 14, 2026
Interobserver variability of recall decisions between mammography readers in the English NHS breast screening programme: A comparison of interobserver variability measures
Laura Quinn, David Jenkinson, Sian Taylor-Phillips, et al.
Journal of Experimental Psychology. Applied
|
May 26, 2017
Low prevalence search for cancers in mammograms: Evidence using laboratory experiments and computer aided detection
Melina A Kunar, Derrick G Watson, Sian Taylor-Phillips, et al.
Journal of Medical Screening
|
September 7, 2013
The effects of a UK review of Breast Cancer Screening on Uptake: an observational before/after study
Sian Taylor-Phillips, Emma O'Sullivan, Olive Kearins, et al.
Page
of 12
Search research articles
Search
Showing results (1-10 of 119) with videos related to
Sort By:
Page
of 12
BMJ Quality & Safety
|
November 26, 2024
The problem with uptake as a quality metric for population-based screening programmes
Natalie Armstrong, Sian Taylor-Phillips
The Lancet. Digital Health
|
June 24, 2022
Artificial intelligence to complement rather than replace radiologists in breast screening
Sian Taylor-Phillips, Karoline Freeman
The British Journal of Radiology
|
April 2, 2019
Fatigue in radiology: a fertile area for future research
Sian Taylor-Phillips, Chris Stinton
BMJ (Clinical Research Ed.)
|
July 8, 2021
Asymptomatic rapid testing for SARS-CoV-2
Sian Taylor-Phillips, Jacqueline Dinnes
The British Journal of Radiology
|
October 17, 2019
Double reading in breast cancer screening: considerations for policy-making
Sian Taylor-Phillips, Chris Stinton
Journal of Experimental Psychology. Applied
|
October 5, 2020
Double reading reduces miss errors in low prevalence search
Melina A Kunar, Derrick G Watson, Sian Taylor-Phillips
European Radiology
|
February 25, 2021
Optimum screening mammography reading volumes: evidence from the NHS Breast Screening Programme
Eleanor Cornford, Shan Cheung, Mike Press, et al.
European Journal of Radiology
|
February 14, 2026
Interobserver variability of recall decisions between mammography readers in the English NHS breast screening programme: A comparison of interobserver variability measures
Laura Quinn, David Jenkinson, Sian Taylor-Phillips, et al.
Journal of Experimental Psychology. Applied
|
May 26, 2017
Low prevalence search for cancers in mammograms: Evidence using laboratory experiments and computer aided detection
Melina A Kunar, Derrick G Watson, Sian Taylor-Phillips, et al.
Journal of Medical Screening
|
September 7, 2013
The effects of a UK review of Breast Cancer Screening on Uptake: an observational before/after study
Sian Taylor-Phillips, Emma O'Sullivan, Olive Kearins, et al.
Page
of 12