Literature DB >> 30422711

A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification.

Andrea Arieno1, Ariane Chan2, Stamatia V Destounis1.   

Abstract

OBJECTIVE: The goal of augmented intelligence is to increase efficiency and effectiveness in practice. To achieve this, augmented intelligence technologies are being asked to perform a range of tasks, from simple to complex and quantitative. The development of these systems is increasingly important as screening becomes more personalized. This article will provide an overview of augmented intelligence in a variety of breast imaging applications.
CONCLUSION: The incorporation of AI and ML techniques in breast imaging provides important new tools that will deliver ways to "sharpen" trusted familiar tools (so-called "augmented intelligence") to support radiologists, not replace them. The first wave of medical imaging systems based on AI and ML has primarily used ML to fix the values of key imaging parameters to be adapted to the individual as part of personalized medicine. Artificial intelligence is the new tool in the radiologist's arsenal but will never replace the human qualities that are important in medicine-intellectual curiosity, passion, and drive.

Entities:  

Keywords:  augmented intelligence; breast density; breast imaging; risk stratification

Mesh:

Year:  2018        PMID: 30422711     DOI: 10.2214/AJR.18.20391

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  4 in total

Review 1.  Artificial Intelligence: A Primer for Breast Imaging Radiologists.

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2020-06-19

2.  Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives.

Authors:  Simon Lennartz; Thomas Dratsch; David Zopfs; Thorsten Persigehl; David Maintz; Nils Große Hokamp; Daniel Pinto Dos Santos
Journal:  J Med Internet Res       Date:  2021-02-17       Impact factor: 5.428

Review 3.  Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?

Authors:  Nithesh Naik; B M Zeeshan Hameed; Dasharathraj K Shetty; Dishant Swain; Milap Shah; Rahul Paul; Kaivalya Aggarwal; Sufyan Ibrahim; Vathsala Patil; Komal Smriti; Suyog Shetty; Bhavan Prasad Rai; Piotr Chlosta; Bhaskar K Somani
Journal:  Front Surg       Date:  2022-03-14

Review 4.  Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging.

Authors:  Anke Meyer-Bäse; Lia Morra; Uwe Meyer-Bäse; Katja Pinker
Journal:  Contrast Media Mol Imaging       Date:  2020-08-28       Impact factor: 3.161

  4 in total

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