(CTN News) – According to the world’sintelligence for breast cancer screening is safe and can almost halve radiologists’ workload.
Globally, more than 2.3 million women get breast cancer every year, according to the World Health Organization.
Screening can improve prognosis and reduce mortality by catching breast cancer early. AI screening is as good as two radiologists working together, doesn’t increase false positives, and almostthe workload.
A randomised controlled trial involving more than 80,000 women published interim safety analysis resultsOncology.
The previous studies on AI and mammograms looked atretrospectively.
Astudy compared AI-supported screening directly with standard care 54 on average.
The scans were assessed by two radiologists, while the other half were screened by AI, then interpreted by one or two radiologists.
With AI-supported screening, 244 women (28%) had cancer compared to 203 (25%) with standard screening. AI helped detect 41 more cancers,and 22 in situ.
AI didn’t increase false positives, where scans are misdiagnosed as abnormal. Both groups had
In the AI group, radiologists read 36,886 fewer screens than in the standard carein a 44% reduction in their screen-reading workload.
The final results, which will determine whether AI reduces interval cancers – cancers detected between screenings that have a worse prognosis – and whether AI is justified for screening, won’t come out for a while.
According to the interim analysis, AI-supported mammography screening had a similar cancer detection rate standard double-reading.
We still need to understand what this means for patients’whether it can help detect interval by traditional screening, as well as how cost-effective it is.
“AI’s greatest potential right now is that it could allow radiologists to read less.
“While our AI-supported screening system requires at least one radiologist to detect, it could potentially eliminate the need formammograms, lowering workloads and allowing radiologists to do more advanced diagnostics while reducing patient wait times.”
He hailed the “high quality” study, but said AI-driven increases in breast cancer detection might include overdetecting relatively harmless lesions. Duffy, a professor of cancer screening at Queen Mary University of London, was not involved in the trial.
a higher detection rate of ductal carcinoma in situ, which may be overdiagnosed, he said.
Breast Cancer Now’s research communications head Kotryna Temcinaite says final trial results will determine whether AI can improve breast cancer screenings.
“Urgent issues” in breast screening programmes, such as outdated IT systems, must be addressed, she said.
the research is “very encouraging” and they’re already exploring how AI can speed diagnosis for women and detect cancer earlier.
Dr Katharine Halliday, the president of the Royal College of Radiologists, said: “AI holds huge promise and could save clinicians time by maximising our efficiency, supporting our decision-making, and helping identify and prioritise the most urgent cases.”