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Mammography study on natural medicines 10 in the first list

Mammography study on natural medicines 10 in the first list

he is very funny. I am very pleased that this indicates that the study was well designed and timely. It has received significant attention and may therefore form the basis for a future recommendation on artificial intelligence in mammography at the international level. “I am happy that we contributed to the development,” says Christina Lange, a breast radiologist and cancer researcher at Lund University.

Double review standard

Christina Lange and her colleagues investigated whether one of the doctors reviewing mammograms could be replaced by an artificial intelligence device. Photo: Andre de Looist.

In Sweden, women between the ages of 40 and 74 are regularly screened with mammography to detect breast cancer. It's called screening.

According to European standards, today every X-ray from mammography examinations is reviewed by two radiologists. Double review makes evaluation safe and reduces the risk of missing a cancer case. In this study, Christina Lange and her colleagues investigated whether it was possible to replace a doctor with an artificial intelligence machine.

The goal was to reduce the workload of radiologists and find more relevant cancer cases early.

People in the mammography room
Christina Lange works in the Unilab Mammography Unit at Skane University Hospital. Photo: Andre de Looist.

Discover more cases of cancer

100,000 women who participated in mammography screening in South West Scania were included in the study. They were divided into two groups. In one group, radiographs were reviewed by two radiologists according to the usual standardized process. In the second group, the images were reviewed by a doctor and an artificial intelligence. But if the AI ​​detects a high cancer risk, the images are also reviewed by a second radiologist. Doctors' screening was also supported by artificial intelligence that identified suspicious findings in the image.

The results exceed our expectations. We were able to reduce the work of radiologists by 44 percent and still detected 20 percent more cancers than we could with standard duplex review.

The results exceed our expectations.

The study received great attention in large parts of the world and in many scientific journals. This study is one of the first to address the importance of artificial intelligence in healthcare on a large scale. The results show that artificial intelligence can free up time for radiologists so that they can devote themselves to more complex tasks closer to the patient. But most importantly, the study indicates that artificial intelligence in screening can detect more cancer cases in a safe way.

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Two people in hospital clothes in front of a computer
Christina Lange and David Schmidt at Skene University Hospital. Photo: Andre de Looist.

Christina Lange also hopes that the study will have significance for patients by detecting more serious cancers at an early stage with the help of artificial intelligence.

This research is entirely dependent on support from the Cancer Foundation and those who donate money to cancer research. I am very grateful for that!

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More research is underway

The research project is now continuing with further analyses, and in 2024 researchers will follow up on what type of cancer cases are detected with the help of AI and whether AI can lead to fewer cases of so-called interval cancers that occur between two occasions of presentation.

Publication: The AI-assisted screen reading versus standard double reading in mammography screening with artificial intelligence (MASAI) trial: a clinical safety analysis of a randomized, controlled, non-inferiority, single-blind screening accuracy study. lang k. et al. Lancet Oncol. 2023 Aug;24(8):936-944. doi: 10.1016/S1470-2045(23)00298-X. PMID: 37541274.

Publication: Raising the level of artificial intelligence in cancer screening O'Leary K. Nat Med. 2023 Dec;29(12):2972. doi: 10.1038/s41591-023-02701-0.

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