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The British Journal of Radiology
|
July 15, 2017
Commentary on duty of candour and cancer screening
Rosalind Given-Wilson
European Journal of Cancer (Oxford, England : 1990)
|
May 25, 2005
Plasma 25-hydroxy vitamin D concentrations, vitamin D receptor genotype and breast cancer risk in a UK Caucasian population
Lorraine C Lowe, Michelle Guy, Janine L Mansi, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
August 26, 2004
Vitamin D receptor gene polymorphisms and breast cancer risk
Michelle Guy, Lorraine C Lowe, Deborah Bretherton-Watt, et al.
The Lancet. Digital Health
|
June 24, 2022
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening
Sian Taylor-Phillips, Farah Seedat, Goda Kijauskaite, et al.
BMC Proceedings
|
October 24, 2024
Risk stratification in breast screening workshop
Andrew Anderson, Cristina Visintin, Antonis Antoniou, et al.
Journal of Medical Screening
|
December 21, 2011
The number of women who would need to be screened regularly by mammography to prevent one death from breast cancer
Valerie Beral, Maggie Alexander, Stephen Duffy, et al.
The British Journal of Radiology
|
January 24, 2024
Development and quality appraisal of a new English breast screening linked data set as part of the age, test threshold, and frequency of mammography screening (ATHENA-M) study
Julia Brettschneider, Breanna Morrison, David Jenkinson, et al.
The British Journal of Radiology
|
January 6, 2023
Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data set
Dominic Cushnan, Kenneth C Young, Dominic Ward, et al.
The Lancet. Digital Health
|
April 4, 2025
Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee
Trystan Macdonald, Zhivko Zhelev, Xiaoxuan Liu, et al.
JMIR Research Protocols
|
March 27, 2024
Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study
Trystan Macdonald, Jacqueline Dinnes, Gregory Maniatopoulos, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
The British Journal of Radiology
|
July 15, 2017
Commentary on duty of candour and cancer screening
Rosalind Given-Wilson
European Journal of Cancer (Oxford, England : 1990)
|
May 25, 2005
Plasma 25-hydroxy vitamin D concentrations, vitamin D receptor genotype and breast cancer risk in a UK Caucasian population
Lorraine C Lowe, Michelle Guy, Janine L Mansi, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
August 26, 2004
Vitamin D receptor gene polymorphisms and breast cancer risk
Michelle Guy, Lorraine C Lowe, Deborah Bretherton-Watt, et al.
The Lancet. Digital Health
|
June 24, 2022
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening
Sian Taylor-Phillips, Farah Seedat, Goda Kijauskaite, et al.
BMC Proceedings
|
October 24, 2024
Risk stratification in breast screening workshop
Andrew Anderson, Cristina Visintin, Antonis Antoniou, et al.
Journal of Medical Screening
|
December 21, 2011
The number of women who would need to be screened regularly by mammography to prevent one death from breast cancer
Valerie Beral, Maggie Alexander, Stephen Duffy, et al.
The British Journal of Radiology
|
January 24, 2024
Development and quality appraisal of a new English breast screening linked data set as part of the age, test threshold, and frequency of mammography screening (ATHENA-M) study
Julia Brettschneider, Breanna Morrison, David Jenkinson, et al.
The British Journal of Radiology
|
January 6, 2023
Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data set
Dominic Cushnan, Kenneth C Young, Dominic Ward, et al.
The Lancet. Digital Health
|
April 4, 2025
Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee
Trystan Macdonald, Zhivko Zhelev, Xiaoxuan Liu, et al.
JMIR Research Protocols
|
March 27, 2024
Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study
Trystan Macdonald, Jacqueline Dinnes, Gregory Maniatopoulos, et al.
Page
of 1