Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three different artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist.

August 28, 2020 — Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three different artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist. The results, published in JAMA Oncology, may lead the way in reorganising breast cancer screening for the future.

"This is the first independent comparison conducted to assess the accuracy of several different AI algorithms," said study author Fredrik Strand, a researcher at the Department of Oncology-Pathology at Karolinska Institutet and a radiologist at Karolinska University Hospital. "We can demonstrate that one of the three algorithms is significantly better than the others and that it equals the accuracy of the average radiologist."

There are currently a large number of suppliers developing various AI-based medical imaging solutions. This study compares the ability of three of these to identify breast cancer in already taken mammograms.

The study included mammograms of 8,805 women between the ages of 40 and 74, all of whom had undergone breast cancer screening between 2008 and 2015. Of these, 739 had been diagnosed with breast cancer, either at the time of screening or within the following 12 months. The most successful of the three AI algorithms diagnosed the same percentage of women with cancer as the average radiologist.

The results also demonstrated that one of the AI algorithms was significantly better than the others.

"We conducted the study in order to find out how far the algorithms have developed and whether there is any difference between the available systems," Fredrik Strand explained. "The results show that, in principle, the best algorithm is ready for use and that there is a significant difference between the various algorithms on the market."

Another study of the same research group, recently published in The Lancet Digital Health, showed that an AI algorithm could sort mammography images to indicate which required additional attention by radiologists and which were easily assessed by AI alone without missing any cancer that would otherwise have been detected by a radiologist.

The researchers are now moving on to study how AI can play a part in improving breast cancer screening. Current practice involves two radiologists examining every mammogram. If either of these identify a suspected tumour, the examination proceeds to a discussion involving at least two radiologists who together decide whether the woman should be recalled for further examination.

"We are planning a prospective clinical study to see how AI works as an independent reviewer of mammograms in a day-to-day clinical environment, both by acting as a third reviewer and by helping to select women who can be offered complementary MRI scans in order to detect cancers at an earlier stage," said Fredrik Strand.

For more information: www.ki.se

 

Related Content

News | Information Technology

June 29, 2022 — Bayer unveiled Calantic Digital Solutions, a new cloud-hosted platform delivering access to digital ...

Time June 29, 2022
arrow
News | Ultrasound Imaging

June 28, 2022 — Mindray, a global leader and developer of healthcare technologies and solutions for ultrasound, patient ...

Time June 28, 2022
arrow
News | Mammography

June 23, 2022 — Black and Asian women are more likely than white women to experience significant delays in getting ...

Time June 23, 2022
arrow
News | Radiology Business

June 22, 2022 — Blackford, a medical imaging AI platform leader that helps healthcare professionals add clinical value ...

Time June 22, 2022
arrow
News | MRI Breast

June 22, 2022 — According to ARRS’ American Journal of Roentgenology (AJR), contrast-enhanced mammography (CEM) may be a ...

Time June 22, 2022
arrow
News | Radiation Therapy

June 17, 2022 — Accuray Incorporated and Limbus AI Inc. announced they are partnering to augment Accuray adaptive ...

Time June 17, 2022
arrow
News | Artificial Intelligence

June 14, 2022 — According to ARRS’ American Journal of Roentgenology (AJR), incorporating AI support into clinical ...

Time June 14, 2022
arrow
News | Breast Imaging

June 10, 2022 — According to a new study, use of breast imaging services — including mammography screening — may remain ...

Time June 10, 2022
arrow
News | Breast Imaging

June 10, 2022 — Targeted text reminders and other interventions erased disparity in the rate of breast cancer screening ...

Time June 10, 2022
arrow
News | Artificial Intelligence

June 9, 2022 — Infinitt North America and Brainreader A/S announced today a wide ranging and unique partnership to ...

Time June 09, 2022
arrow
Subscribe Now