The new study has found that the artificial intelligence system can detect the symptoms of breast cancer as correctly as a radiologist.
The study was published in the Journal of the National Cancer Institute on March 5, 2019.
Today breast cancer is one of the most common cancers among women globally. Every year 2.1 million (21 lakh) women are diagnosed with breast cancer.
Despite several improvements in medications and therapies over the years, it is still the number one cause for deaths. Around 5,00,000 people die due to this.
According to reports, traditionally mammography is done by the doctors with the use of radiology for the screening of breast cancer. However, with this new study, the researchers have compared the result of cancer detection with artificial intelligence (AI) to 101 radiologists.
The researchers have analyzed nine multi-reader and collected the data from multiple case studies with 2652 exams in total. Out of these 663 cases were infected. The result of this research found that the results generated by the use of AI are as accurate as 101 radiologists.
The team of researchers claims AI has been helping in the detection of breast lesions for three decades. However, no research has proved that those systems are as accurate as a radiologist themselves or even they are cost-effective. Which made it prohibited for the doctors to use AI technology for screening mammography.
Loannis Sechopoulos, one of the study author, said, "Before we could decide what is the best way for AI systems to be introduced in the realm of breast cancer screening with mammography, we wanted to know how good can these systems really be".
Moreover, he said, "It was exciting to see that these systems have reached the level of matching the performance of not just radiologists, but of radiologists who spend at least a substantial portion of their time reading screening mammograms."
According to the reports, the results acquired from the artificial intelligence system are similar to the result generated by the use of an average of 101 radiologists. However, more investigation is needed to be done to ensure its performance and its impact in the realm of screening breast cancer with mammography.