Iranian Experts Design Smart Mammography Interpretation System
“In this project, artificial intelligence algorithms, machine learning (ML) and deep learning (DL), were used in a way that they are able to interpret mammography results,” said Parastou Kordestani Moqaddam, an assistant professor at Lorestan University of Medical Sciences.
Noting that this can increase the sensitivity necessary to improve the accuracy in interpreting the results of medical diagnostic tests, she said, “Previous studies have concluded that deep learning and machine learning can be very useful in advancing the identification of abnormalities in mammography and provide significant assistance to medical staff.”
“In this project, after reviewing the studies conducted and examining the strengths and weaknesses of these studies, the research team designed an optimal artificial intelligence assistant method for interpreting mammography images to detect abnormalities. This artificial intelligence-based tool will save radiologists' time and help young and inexperienced radiologists achieve more accurate, faster, and more reliable diagnoses,” Kordestani Moqaddam said.
In a relevant development in 2024, engineers at an Iranian technological company had also managed to produce a 3D digital mammography device which has a lower price compared to the foreign model.
“3D digital mammography, using X-ray-based imaging technology and advanced data analysis, enables the identification of small cancerous masses and the detection of lesions hidden in dense tissues. This technology is a big breakthrough, specially for women with dense breast tissue, where detection is more difficult,” said Amir Askari Raad, the managing director of Payamed Electronic company.
Noting that each imported mammography device costs an average of $150,000, he said, “With the domestic production of these devices, not only the exchange rate is reduced by 80%, but also an annual saving of $12 million happens.”
“Payamed Electronic company has so far supplied over 600 mammography devices across the country and exported its product to Iraq, Syria and Türkiye,” Askari Raad said.
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