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Annie Y Ng

Showing results (1-10 of 8) with videos related to

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Cancers|June 28, 2023
Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer ScreeningCary J G Oberije, Nisha Sharma, Jonathan J James, et al.
Journal of the American College of Radiology : JACR|December 14, 2025
A Learning Accelerator Framework: Scalable Clinical AI Development and DeliveryDiana S M Buist, Annie Y Ng, Bryan Haslam, et al.
Journal of Breast Imaging|February 28, 2024
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce WorkloadAnnie Y Ng, Ben Glocker, Cary Oberije, et al.
Nature Medicine|November 17, 2023
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancerAnnie Y Ng, Cary J G Oberije, Éva Ambrózay, et al.
BMJ Health & Care Informatics|May 15, 2025
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) studyCary J G Oberije, Rachel Currie, Alice Leaver, et al.
BMC Cancer|May 19, 2023
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammogramsNisha Sharma, Annie Y Ng, Jonathan J James, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 12, 2014
Minor class splicing shapes the zebrafish transcriptome during developmentSebastian Markmiller, Nicole Cloonan, Rea M Lardelli, et al.
Plos Genetics|February 15, 2013
Autophagy induction is a Tor- and Tp53-independent cell survival response in a zebrafish model of disrupted ribosome biogenesisYeliz Boglev, Andrew P Badrock, Andrew J Trotter, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Cancers|June 28, 2023
Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer ScreeningCary J G Oberije, Nisha Sharma, Jonathan J James, et al.
Journal of the American College of Radiology : JACR|December 14, 2025
A Learning Accelerator Framework: Scalable Clinical AI Development and DeliveryDiana S M Buist, Annie Y Ng, Bryan Haslam, et al.
Journal of Breast Imaging|February 28, 2024
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce WorkloadAnnie Y Ng, Ben Glocker, Cary Oberije, et al.
Nature Medicine|November 17, 2023
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancerAnnie Y Ng, Cary J G Oberije, Éva Ambrózay, et al.
BMJ Health & Care Informatics|May 15, 2025
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) studyCary J G Oberije, Rachel Currie, Alice Leaver, et al.
BMC Cancer|May 19, 2023
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammogramsNisha Sharma, Annie Y Ng, Jonathan J James, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 12, 2014
Minor class splicing shapes the zebrafish transcriptome during developmentSebastian Markmiller, Nicole Cloonan, Rea M Lardelli, et al.
Plos Genetics|February 15, 2013
Autophagy induction is a Tor- and Tp53-independent cell survival response in a zebrafish model of disrupted ribosome biogenesisYeliz Boglev, Andrew P Badrock, Andrew J Trotter, et al.
Pageof 1