Literature DB >> 28472204

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Andrew D Trister1,2, Diana S M Buist3, Christoph I Lee4.   

Abstract

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Year:  2017        PMID： 28472204      PMCID： PMC8855965          DOI： 10.1001/jamaoncol.2017.0473

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN： 2374-2437            Impact factor:   31.777


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  7 in total

1.  Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.

Authors:  Andrew H Beck; Ankur R Sangoi; Samuel Leung; Robert J Marinelli; Torsten O Nielsen; Marc J van de Vijver; Robert B West; Matt van de Rijn; Daphne Koller
Journal:  Sci Transl Med       Date:  2011-11-09       Impact factor: 17.956

2.  Machine Learning and the Profession of Medicine.

Authors:  Alison M Darcy; Alan K Louie; Laura Weiss Roberts
Journal:  JAMA       Date:  2016-02-09       Impact factor: 56.272

3.  Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness.

Authors:  H Gilbert Welch; Philip C Prorok; A James O'Malley; Barnett S Kramer
Journal:  N Engl J Med       Date:  2016-10-13       Impact factor: 91.245

4.  Large scale deep learning for computer aided detection of mammographic lesions.

Authors:  Thijs Kooi; Geert Litjens; Bram van Ginneken; Albert Gubern-Mérida; Clara I Sánchez; Ritse Mann; Ard den Heeten; Nico Karssemeijer
Journal:  Med Image Anal       Date:  2016-08-02       Impact factor: 8.545

Review 5.  Machine Learning in Medicine.

Authors:  Rahul C Deo
Journal:  Circulation       Date:  2015-11-17       Impact factor: 29.690

6.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

7.  Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection.

Authors:  Constance D Lehman; Robert D Wellman; Diana S M Buist; Karla Kerlikowske; Anna N A Tosteson; Diana L Miglioretti
Journal:  JAMA Intern Med       Date:  2015-11       Impact factor: 21.873
  7 in total
  18 in total

1.  Is the future of breast imaging with AI?

Authors:  Michael Fuchsjäger
Journal:  Eur Radiol       Date:  2019-06-14       Impact factor: 5.315

2.  Artificial Intelligence for Breast Cancer Imaging: The New Frontier?

Authors:  Christoph I Lee; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

3.  Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.

Authors:  Alejandro Rodriguez-Ruiz; Kristina Lång; Albert Gubern-Merida; Mireille Broeders; Gisella Gennaro; Paola Clauser; Thomas H Helbich; Margarita Chevalier; Tao Tan; Thomas Mertelmeier; Matthew G Wallis; Ingvar Andersson; Sophia Zackrisson; Ritse M Mann; Ioannis Sechopoulos
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

Review 4.  The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part I).

Authors:  Tanvi Vaidya; Archi Agrawal; Shivani Mahajan; Meenakshi H Thakur; Abhishek Mahajan
Journal:  Mol Diagn Ther       Date:  2019-02       Impact factor: 4.074

Review 5.  Updates in Artificial Intelligence for Breast Imaging.

Authors:  Manisha Bahl
Journal:  Semin Roentgenol       Date:  2021-12-31       Impact factor: 0.709

6.  Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

Authors:  Raymond H Mak; Michael G Endres; Jin H Paik; Rinat A Sergeev; Hugo Aerts; Christopher L Williams; Karim R Lakhani; Eva C Guinan
Journal:  JAMA Oncol       Date:  2019-05-01       Impact factor: 31.777

7.  Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.

Authors:  Anna W Anderson; M Luke Marinovich; Nehmat Houssami; Kathryn P Lowry; Joann G Elmore; Diana S M Buist; Solveig Hofvind; Christoph I Lee
Journal:  J Am Coll Radiol       Date:  2022-01-20       Impact factor: 5.532

8.  An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study.

Authors:  Shaoxu Wu; Xiong Chen; Jiexin Pan; Wen Dong; Xiayao Diao; Ruiyun Zhang; Yonghai Zhang; Yuanfeng Zhang; Guang Qian; Hao Chen; Haotian Lin; Shizhong Xu; Zhiwen Chen; Xiaozhou Zhou; Hongbing Mei; Chenglong Wu; Qiang Lv; Baorui Yuan; Zeshi Chen; Wenjian Liao; Xuefan Yang; Haige Chen; Jian Huang; Tianxin Lin
Journal:  J Natl Cancer Inst       Date:  2022-02-07       Impact factor: 11.816

9.  Artificial intelligence in breast cancer screening: primary care provider preferences.

Authors:  Nathaniel Hendrix; Brett Hauber; Christoph I Lee; Aasthaa Bansal; David L Veenstra
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

10.  Detecting and classifying lesions in mammograms with Deep Learning.

Authors:  Dezső Ribli; Anna Horváth; Zsuzsa Unger; Péter Pollner; István Csabai
Journal:  Sci Rep       Date:  2018-03-15       Impact factor: 4.379
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