Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications
Objective: During the last decades, advances in computing power, structured data, and algorithm development, developed a technology based on Artificial intelligence (AI) which is currently applied in medicine. Nowadays, the main use of AI in breast imaging is in decision support in mammography, wher...
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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IMR Press
2022-10-01
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| Series: | Clinical and Experimental Obstetrics & Gynecology |
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| Online Access: | https://www.imrpress.com/journal/CEOG/49/11/10.31083/j.ceog4911237 |
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| author | Filippo Pesapane Chiara Trentin Marta Montesano Federica Ferrari Luca Nicosia Anna Rotili Silvia Penco Mariagiorgia Farina Irene Marinucci Francesca Abbate Lorenza Meneghetti Anna Bozzini Antuono Latronico Alessandro Liguori Giuseppe Carrafiello Enrico Cassano |
| author_facet | Filippo Pesapane Chiara Trentin Marta Montesano Federica Ferrari Luca Nicosia Anna Rotili Silvia Penco Mariagiorgia Farina Irene Marinucci Francesca Abbate Lorenza Meneghetti Anna Bozzini Antuono Latronico Alessandro Liguori Giuseppe Carrafiello Enrico Cassano |
| author_sort | Filippo Pesapane |
| collection | DOAJ |
| description | Objective: During the last decades, advances in computing power, structured data, and algorithm development, developed a technology based on Artificial intelligence (AI) which is currently applied in medicine. Nowadays, the main use of AI in breast imaging is in decision support in mammography, where it facilitates human decision-making as opposed to replacing radiologists. In this paper, we analyze how AI is currently involved in radiological decision-making and how will change both interpretation efficacy and workflow efficiency in breast imaging. Mechanism: We performed a non-systematic review on Pubmed and Scopus and Web of Science electronic databases from January 2001 to January 2022, using the following keywords: artificial intelligence, machine and deep learning, breast imaging and mammography. Findings in Brief: Many retrospective studies showed that AI can match or even enhance performances of radiologists in mammography interpretation. However, to assess the real role of AI in clinical practice compelling evidence from accurate perspective studies in large cohorts is needed. Breast imaging must face with the exponential growth in imaging requests (and consequently higher costs) and a predicted reduced number of trained radiologists to read imaging and provide reports. To mitigate these urges, solution is being sought with increasing investments in the application of AI to improve the radiology workflow efficiency as well as patient outcomes. Conslusions: This paper show the background on the evolution and the application of AI in breast imaging in 2022, in addition to exploring advantages and limitations of this innovative technology, as well as ethical and legal issues that have been identified so far. |
| format | Article |
| id | doaj-art-81a74519da9e4b06b49f0a48e96eb1e9 |
| institution | DOAJ |
| issn | 0390-6663 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | IMR Press |
| record_format | Article |
| series | Clinical and Experimental Obstetrics & Gynecology |
| spelling | doaj-art-81a74519da9e4b06b49f0a48e96eb1e92025-08-20T03:06:44ZengIMR PressClinical and Experimental Obstetrics & Gynecology0390-66632022-10-01491123710.31083/j.ceog4911237S0390-6663(22)01875-9Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence ApplicationsFilippo Pesapane0Chiara Trentin1Marta Montesano2Federica Ferrari3Luca Nicosia4Anna Rotili5Silvia Penco6Mariagiorgia Farina7Irene Marinucci8Francesca Abbate9Lorenza Meneghetti10Anna Bozzini11Antuono Latronico12Alessandro Liguori13Giuseppe Carrafiello14Enrico Cassano15Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyDepartment of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, 20122 Milan, ItalyDepartment of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, 20122 Milan, ItalyBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, ItalyObjective: During the last decades, advances in computing power, structured data, and algorithm development, developed a technology based on Artificial intelligence (AI) which is currently applied in medicine. Nowadays, the main use of AI in breast imaging is in decision support in mammography, where it facilitates human decision-making as opposed to replacing radiologists. In this paper, we analyze how AI is currently involved in radiological decision-making and how will change both interpretation efficacy and workflow efficiency in breast imaging. Mechanism: We performed a non-systematic review on Pubmed and Scopus and Web of Science electronic databases from January 2001 to January 2022, using the following keywords: artificial intelligence, machine and deep learning, breast imaging and mammography. Findings in Brief: Many retrospective studies showed that AI can match or even enhance performances of radiologists in mammography interpretation. However, to assess the real role of AI in clinical practice compelling evidence from accurate perspective studies in large cohorts is needed. Breast imaging must face with the exponential growth in imaging requests (and consequently higher costs) and a predicted reduced number of trained radiologists to read imaging and provide reports. To mitigate these urges, solution is being sought with increasing investments in the application of AI to improve the radiology workflow efficiency as well as patient outcomes. Conslusions: This paper show the background on the evolution and the application of AI in breast imaging in 2022, in addition to exploring advantages and limitations of this innovative technology, as well as ethical and legal issues that have been identified so far.https://www.imrpress.com/journal/CEOG/49/11/10.31083/j.ceog4911237breast imagingartificial intelligencemammography |
| spellingShingle | Filippo Pesapane Chiara Trentin Marta Montesano Federica Ferrari Luca Nicosia Anna Rotili Silvia Penco Mariagiorgia Farina Irene Marinucci Francesca Abbate Lorenza Meneghetti Anna Bozzini Antuono Latronico Alessandro Liguori Giuseppe Carrafiello Enrico Cassano Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications Clinical and Experimental Obstetrics & Gynecology breast imaging artificial intelligence mammography |
| title | Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications |
| title_full | Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications |
| title_fullStr | Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications |
| title_full_unstemmed | Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications |
| title_short | Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications |
| title_sort | mammography in 2022 from computer aided detection to artificial intelligence applications |
| topic | breast imaging artificial intelligence mammography |
| url | https://www.imrpress.com/journal/CEOG/49/11/10.31083/j.ceog4911237 |
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