An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging
Swati Goyal Department of Radiodiagnosis, Government Medical College & Hospital, Bhopal, Madhya Pradesh, IndiaCorrespondence: Swati Goyal D/16 Upant Colony, Bhopal, Madhya Pradesh, 462016 Tel +91 9424427774Email swati_97in@yahoo.comAbstract: This review article aims to discuss current trends...
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doaj-fb4215896f5743e08b52cc11359716522021-03-11T18:21:06ZengDove Medical PressReports in Medical Imaging1179-15862021-03-01Volume 14152562968An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast ImagingGoyal SSwati Goyal Department of Radiodiagnosis, Government Medical College & Hospital, Bhopal, Madhya Pradesh, IndiaCorrespondence: Swati Goyal D/16 Upant Colony, Bhopal, Madhya Pradesh, 462016 Tel +91 9424427774Email swati_97in@yahoo.comAbstract: This review article aims to discuss current trends, techniques, and promising uses of artificial intelligence (AI) in breast imaging, apart from the pitfalls that may hinder its progress. It includes only the commonly used and basic terminology imperative for physicians to know. AI is not just a computerized approach but an interface between humans and machines. Apart from reducing workload and improved diagnostic accuracy, radiologists get more time for patient care or clinical work by using various machine learning techniques that augment their productivity. Inadequate data input with suboptimal pattern recognition, data extraction challenges, legal implications, and exorbitant costs are a few pitfalls that AI algorithms still face while analyzing and giving appropriate outcomes. Various machine learning approaches are used to construct prediction models for clinical decision support and ameliorating patient management. Since AI is still in its fledgling state, with many limitations for clinical implementation, clinical support and feedback are needed to avoid algorithmic errors. Hence, both machine learning and human insight complement each other in revolutionizing breast imaging.Keywords: machine learning, augmented intelligence, ANN, CNN, CAD, GANshttps://www.dovepress.com/an-overview-of-current-trends-techniques-prospects-and-pitfalls-of-art-peer-reviewed-article-RMImachine learningaugmented intelligenceanncnncadgans |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Goyal S |
spellingShingle |
Goyal S An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging Reports in Medical Imaging machine learning augmented intelligence ann cnn cad gans |
author_facet |
Goyal S |
author_sort |
Goyal S |
title |
An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging |
title_short |
An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging |
title_full |
An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging |
title_fullStr |
An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging |
title_full_unstemmed |
An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging |
title_sort |
overview of current trends, techniques, prospects, and pitfalls of artificial intelligence in breast imaging |
publisher |
Dove Medical Press |
series |
Reports in Medical Imaging |
issn |
1179-1586 |
publishDate |
2021-03-01 |
description |
Swati Goyal Department of Radiodiagnosis, Government Medical College & Hospital, Bhopal, Madhya Pradesh, IndiaCorrespondence: Swati Goyal D/16 Upant Colony, Bhopal, Madhya Pradesh, 462016 Tel +91 9424427774Email swati_97in@yahoo.comAbstract: This review article aims to discuss current trends, techniques, and promising uses of artificial intelligence (AI) in breast imaging, apart from the pitfalls that may hinder its progress. It includes only the commonly used and basic terminology imperative for physicians to know. AI is not just a computerized approach but an interface between humans and machines. Apart from reducing workload and improved diagnostic accuracy, radiologists get more time for patient care or clinical work by using various machine learning techniques that augment their productivity. Inadequate data input with suboptimal pattern recognition, data extraction challenges, legal implications, and exorbitant costs are a few pitfalls that AI algorithms still face while analyzing and giving appropriate outcomes. Various machine learning approaches are used to construct prediction models for clinical decision support and ameliorating patient management. Since AI is still in its fledgling state, with many limitations for clinical implementation, clinical support and feedback are needed to avoid algorithmic errors. Hence, both machine learning and human insight complement each other in revolutionizing breast imaging.Keywords: machine learning, augmented intelligence, ANN, CNN, CAD, GANs |
topic |
machine learning augmented intelligence ann cnn cad gans |
url |
https://www.dovepress.com/an-overview-of-current-trends-techniques-prospects-and-pitfalls-of-art-peer-reviewed-article-RMI |
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