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AI can aid the detection of breast cancer

According to a report on the preprint server medRxiv, artificial intelligence (AI) technology can now be used to detect breast cancer in the near future.

The technology was found to be as effective, if not more so, than a human radiologist in identifying breast cancer in 250,000 scans in a study published last year. It was also able to read scans more quickly overall.

AI systems that analyze mammograms and use machine learning to identify potential breast cancer cases with greater accuracy than human radiologists are currently being tested by researchers. According to the article, this technology could help doctors detect breast cancer earlier and treat patients more effectively.

According to the study, incorporating the technologies into the medical field could reduce radiologists’ workload by providing an automated system that can provide a second opinion quickly and accurately. Companies have been working on such programs for years, as existing artificial intelligence technologies become more capable of performing more complex tasks. Insider previously reported on Google programs that were capable of outperforming doctors while still in development in 2020.

It also claimed that the AI software, designed to act as a second reader after a human analyzes a scan, outperformed health care professionals and reduced workloads by at least 30%. Meanwhile, artificial intelligence has helped to reduce the workload of health-care workers, and the Times reported that the technology’s success has led to its adoption in a number of European countries. According to the report, clinics and hospitals in the United States are also experimenting with its use.

The findings support previous research that found consistent results for artificial intelligence in detecting cancer and reducing false positives and false negatives.

The sources for this piece include an article in BusinessInsider.

IT World Canada Staff
IT World Canada Staffhttp://www.itworldcanada.com/
The online resource for Canadian Information Technology professionals.

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Jim Love, Chief Content Officer, IT World Canada

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