Volume 29, Issue 159, May 2025

Applications of Artificial intelligence in the assessment of breast imaging

Marcin Grzebyk^1♦, Anna Tokarska², Katarzyna Gawrońska³, Joanna Rybak⁴, Aleksandra Arnista⁵, Aleksandra Kołodziejczyk⁶, Agnieszka Waszczuk⁷, Mateusz Świątko⁸, Paweł Sosnowski⁹, Piotr Łapiński¹⁰

¹Medical University of Warsaw, Żwirki i Wigury 61, 02-091 Warszawa, Poland
²Central Clinical Hospital, Banacha 1A, 02-097 Warsaw, Poland
³Specialized Provincial Hospital in Ciechanów, Powstańców Wielkopolskich 2, 06-400 Ciechanów, Poland
⁴Father Jerzy Popiełuszko “Bielański” Hospital, Independent Public Health Care Institution in Warsaw, Cegłowska 80, 01-809, Warsaw, Poland
⁵Military Institute of Medicine–National Research Institute, Szaserów 128, 04-141 Warsaw, Poland
⁶District Hospital in Grójec, 05-600 Piotra Skargi 10, Grójec, Poland
⁷Provincial Specialist Hospital in Biała Podlaska, Terebelska 57-65, 21- 500, Biała Podlaska, Poland
⁸District Hospital in Sochaczew, Batalionów Chłopskich 3/7, 96-500 Sochaczew, Poland
⁹Central Clinical Hospital, Banacha 1A, 02-087, Warsaw, Poland
¹⁰Central Clinical Hospital, Banacha 1A, 02-097 Warsaw, Poland

^♦Corresponding author
Marcin Grzebyk, Medical University of Warsaw, Żwirki i Wigury 61, 02- 091 Warszawa

ABSTRACT

Artificial intelligence helps doctors and researchers of diagnostic imaging through higher sensitivity and specificity in diagnosis, most importantly, by avoiding wrong positive and negative findings. The purpose of the article is to explain how to enhance ‘diagnostic confidence’ in imaging diagnosis of nipple lesions to tell the difference between benign and malignant lesions. The article presents the projects and the technology of the AI hybridization with the current mammography, MRI, and ultrasound devices. The development prospects and challenges, encompassing ethical and evolutionary considerations, along with validation and scaling issues, for solutions widely adopted in imaging diagnostics of highlighted breast lesions.

Keywords: AI in radiology, AI in breast cancer, AI in mammography, AI in MRI of breast, AI in an ultrasound examination of the breast

Medical Science, 2025, 29, e69ms3574

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DOI: https://doi.org/10.54905/disssi.v29i158.e69ms3574

Published: 21 May 2025