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Mattie Salim

Showing results (1-10 of 6) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|April 10, 2023
Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matchingKarin Dembrower, Mattie Salim, Martin Eklund, et al.
The British Journal of Radiology|September 3, 2023
Differences and similarities in false interpretations by AI CAD and radiologists in screening mammographyMattie Salim, Karin Dembrower, Martin Eklund, et al.
Radiology|July 29, 2020
Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography ExaminationsMattie Salim, Karin Dembrower, Martin Eklund, et al.
The Lancet. Digital Health|December 17, 2020
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation studyKarin Dembrower, Erik Wåhlin, Yue Liu, et al.
JAMA Oncology|August 28, 2020
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening MammogramsMattie Salim, Erik Wåhlin, Karin Dembrower, et al.
Nature Medicine|July 8, 2024
AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trialMattie Salim, Yue Liu, Moein Sorkhei, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Medical Imaging (Bellingham, Wash.)|April 10, 2023
Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matchingKarin Dembrower, Mattie Salim, Martin Eklund, et al.
The British Journal of Radiology|September 3, 2023
Differences and similarities in false interpretations by AI CAD and radiologists in screening mammographyMattie Salim, Karin Dembrower, Martin Eklund, et al.
Radiology|July 29, 2020
Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography ExaminationsMattie Salim, Karin Dembrower, Martin Eklund, et al.
The Lancet. Digital Health|December 17, 2020
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation studyKarin Dembrower, Erik Wåhlin, Yue Liu, et al.
JAMA Oncology|August 28, 2020
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening MammogramsMattie Salim, Erik Wåhlin, Karin Dembrower, et al.
Nature Medicine|July 8, 2024
AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trialMattie Salim, Yue Liu, Moein Sorkhei, et al.
Pageof 1