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A recent study conducted by the University of California found that artificial intelligence technology can reduce the breast cancer diagnosis timeframe from weeks to just one hour. This is achieved by classifying women based on their risk levels and directing the most vulnerable cases straight to the necessary examinations on the same day. The study relied on an intelligent system called "Mirai," which analyzes radiographic images to assess the likelihood of cancer and prioritizes urgent tests for high-risk cases. This approach has decreased waiting times for examinations and diagnoses from over a month to less than 10 days, enabling earlier treatment and reducing the psychological stress on patients. This development is particularly significant in the Arab region, where many women face long waits. Its adoption can lead to more effective healthcare management and an improvement in service quality.
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