2023-08-02 05:43:27
Artificial intelligence software seems able to reduce the workload of radiologists in breast cancer screening, according to the first data from a study published on Wednesday, although it is too early to conclude on its real benefit.
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Made in Sweden and published in the Lancet Oncologythis study above all makes it possible to conclude that there is no risk for radiologists to use artificial intelligence (AI) software to better direct their analyses.
The researchers divided some 80,000 women into two groups of similar size. All underwent a mammogram, but the first group was screened in the classic way, that is to say with the gaze of two independent radiologists, while the data of the second were first examined by an AI and then by a single radiologist.
In the end, the AI-assisted group did not perform worse: they even detected slightly more cancers. The rate of “false positives”, that is to say cases where the first examination wrongly suspects cancer, was similar.
Since only one radiologist is needed in the procedure involving an AI, the use of this technology might eventually reduce the workload of these doctors by half.
These results are promising, as screening is widely considered to be one of the main ways to fight breast cancer. In France, it is widespread among women aged 50 to 74, in line with European recommendations.
However, it is too early to conclude on the real interest of AI in the field: it will take several years of hindsight to know if it has been as effective as a human double opinion.
To do this, the researchers will compare in two years the rate of cancers which will have escaped screening, but will have been diagnosed in the interval.
These initial data also leave room for uncertainty regarding the risk of “overdiagnosis”, namely of identifying lesions that would not have evolved into dangerous cancers without treatment.
This question of overdiagnosis is at the heart of certain criticisms of the merits of generalized screening, even if research confirms more and more clearly its interest in reducing breast cancer mortality.
The risk of overdiagnosis “should encourage caution in the interpretation of the results”, warned in a comment to the Lancet Oncology the oncologist Nereo Segnan, foreign to the study, while acknowledging its promising nature.
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