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Literature DB >> 31201524

Is the future of breast imaging with AI?

Michael Fuchsjäger¹.

Abstract

Year: 2019 PMID： 31201524 DOI： 10.1007/s00330-019-06286-6

Source DB: PubMed Journal: Eur Radiol ISSN： 0938-7994 Impact factor: 5.315

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10 in total

Review 1. Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice.

Authors: Nehmat Houssami; Georgia Kirkpatrick-Jones; Naomi Noguchi; Christoph I Lee
Journal: Expert Rev Med Devices Date: 2019-05-03 Impact factor: 3.166

Review 2. Demystification of AI-driven medical image interpretation: past, present and future.

Authors: Peter Savadjiev; Jaron Chong; Anthony Dohan; Maria Vakalopoulou; Caroline Reinhold; Nikos Paragios; Benoit Gallix
Journal: Eur Radiol Date: 2018-08-13 Impact factor: 5.315

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

4. [Evaluation of a computer-assisted diagnosis system in breast carcinoma].

Authors: M Funovics; S Schamp; T H Helbich; B Lackner; P Wunderbaldinger; M Fuchsjäger; G Lechner; G Wolf
Journal: Rofo Date: 2001-03

5. Influence of computer-aided detection on performance of screening mammography.

Authors: Joshua J Fenton; Stephen H Taplin; Patricia A Carney; Linn Abraham; Edward A Sickles; Carl D'Orsi; Eric A Berns; Gary Cutter; R Edward Hendrick; William E Barlow; Joann G Elmore
Journal: N Engl J Med Date: 2007-04-05 Impact factor: 91.245

6. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.

Authors: Alejandro Rodríguez-Ruiz; Elizabeth Krupinski; Jan-Jurre Mordang; Kathy Schilling; Sylvia H Heywang-Köbrunner; Ioannis Sechopoulos; Ritse M Mann
Journal: Radiology Date: 2018-11-20 Impact factor: 11.105

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

8. Will Machine Learning Tip the Balance in Breast Cancer Screening?

Authors: Andrew D Trister; Diana S M Buist; Christoph I Lee
Journal: JAMA Oncol Date: 2017-11-01 Impact factor: 31.777

9. Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

Authors: Alejandro Rodriguez-Ruiz; Kristina Lång; Albert Gubern-Merida; Jonas Teuwen; Mireille Broeders; Gisella Gennaro; Paola Clauser; Thomas H Helbich; Margarita Chevalier; Thomas Mertelmeier; Matthew G Wallis; Ingvar Andersson; Sophia Zackrisson; Ioannis Sechopoulos; Ritse M Mann
Journal: Eur Radiol Date: 2019-04-16 Impact factor: 5.315

10. ESR concept paper on value-based radiology.

Authors:
Journal: Insights Imaging Date: 2017-08-30