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Detecting cancer early—through CT scans—is crucial, but analyzing these scans is a time-consuming process that’s prone to human error.
A UK-based hospital implemented an AI tool that automated the alignment and assessment of scans, flagging anything suspicious for further review.
This AI tool successfully detects anomalies in over 50% of tested images, significantly improving the detection rate of cancer.
It’s also helped radiologists feel confident in their diagnoses, reducing the need for additional manual analysis, saving time and improving efficiency.
