> Researchers cautioned that more real-world data was needed to show whether the tool could detect enough early-stage cases to outweigh the risks of false posit

> Researchers cautioned that more real-world data was needed to show whether the tool could detect enough early-stage cases to outweigh the risks of false positives and unnecessary testing. Yep, as always, the devil is in the [false|true]-[positive|negative] rate details. These are often downplayed in order to have an attention-grabbing headline. To illustrate, consider that the following algorithm has a 100% success rate at finding deadly tumors that doctors might miss: has_tumor(scan): return True