Künstliche Intelligenz in der modernen Mammadiagnostik

Maggie Banys-Paluchowski; Laura Dussan Molinos; Marcus Rübsamen; Thilo Töllner; Achim Rody; Tanja Fehm; Nana Bündgen; Natalia Krawczyk

doi:10.1007/s00129-022-04997-4

Künstliche Intelligenz in der modernen Mammadiagnostik

Translated title of the contribution: Artificial intelligence in modern breast diagnostics

Maggie Banys-Paluchowski^*, Laura Dussan Molinos, Marcus Rübsamen, Thilo Töllner, Achim Rody, Tanja Fehm, Nana Bündgen, Natalia Krawczyk

^*Corresponding author for this work

Abstract

The use of artificial intelligence (AI) is currently under investigation in various fields of medicine. In breast diagnostics the use of AI-guided systems is already reality, especially in the screening setting. It is hoped that in this way the workflow can be simplified and the radiologist can be supported through automatic assessment of the breast density and the risk of malignancy. The use of AI in breast ultrasound focuses mainly on automated breast ultrasound (ABUS). An estimation of the dignity of a region of interest selected by the investigator on a B-mode picture is also possible using modern systems. Furthermore, in magnetic resonance imaging (MRI) of the breast AI could contribute to the development of a useful algorithm. The so-called Kaiser score is available online for radiologists and helps to estimate the risk of malignancy from MRI findings.

Translated title of the contribution	Artificial intelligence in modern breast diagnostics
Original language	German
Journal	Gynakologie
Volume	55
Issue number	10
Pages (from-to)	771-782
Number of pages	12
ISSN	2731-7102
DOIs	https://doi.org/10.1007/s00129-022-04997-4
Publication status	Published - 10.2022

Research Areas and Centers

Research Area: Luebeck Integrated Oncology Network (LION)
Centers: Center for Artificial Intelligence Luebeck (ZKIL)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00129-022-04997-4

Cite this

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title = "K{\"u}nstliche Intelligenz in der modernen Mammadiagnostik",

abstract = "The use of artificial intelligence (AI) is currently under investigation in various fields of medicine. In breast diagnostics the use of AI-guided systems is already reality, especially in the screening setting. It is hoped that in this way the workflow can be simplified and the radiologist can be supported through automatic assessment of the breast density and the risk of malignancy. The use of AI in breast ultrasound focuses mainly on automated breast ultrasound (ABUS). An estimation of the dignity of a region of interest selected by the investigator on a B-mode picture is also possible using modern systems. Furthermore, in magnetic resonance imaging (MRI) of the breast AI could contribute to the development of a useful algorithm. The so-called Kaiser score is available online for radiologists and helps to estimate the risk of malignancy from MRI findings.",

author = "Maggie Banys-Paluchowski and {Dussan Molinos}, Laura and Marcus R{\"u}bsamen and Thilo T{\"o}llner and Achim Rody and Tanja Fehm and Nana B{\"u}ndgen and Natalia Krawczyk",

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AU - Banys-Paluchowski, Maggie

AU - Dussan Molinos, Laura

AU - Rübsamen, Marcus

AU - Töllner, Thilo

AU - Rody, Achim

AU - Fehm, Tanja

AU - Bündgen, Nana

AU - Krawczyk, Natalia

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AB - The use of artificial intelligence (AI) is currently under investigation in various fields of medicine. In breast diagnostics the use of AI-guided systems is already reality, especially in the screening setting. It is hoped that in this way the workflow can be simplified and the radiologist can be supported through automatic assessment of the breast density and the risk of malignancy. The use of AI in breast ultrasound focuses mainly on automated breast ultrasound (ABUS). An estimation of the dignity of a region of interest selected by the investigator on a B-mode picture is also possible using modern systems. Furthermore, in magnetic resonance imaging (MRI) of the breast AI could contribute to the development of a useful algorithm. The so-called Kaiser score is available online for radiologists and helps to estimate the risk of malignancy from MRI findings.

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Künstliche Intelligenz in der modernen Mammadiagnostik

Abstract

Research Areas and Centers

UN SDGs

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