Studies found that Google’s AI system for detecting breast cancer in mammograms identified slightly more cancers than human radiologists. The system caught some cases doctors initially missed. Trials also showed the system could reduce radiologists’ workload. But researchers noted that trust remains a major barrier to clinical adoption. Read our summary of the paper in The Batch hubs.la/Q04hzZ_R0

@DeepLearningAI It's the false positive rate that matters. I think catching more true positives only helps if radiologists don't spend twice as long ruling out ghost findings.

@DeepLearningAI How is precision if compared with radiologists?

@DeepLearningAI Did they outsourced this detection model ? If not outsourced how outside google can use it?

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@DeepLearningAI any data showing what the missed cases looked like compared to caught ones would be curious about the blindspots?

@DeepLearningAI the subtle "but researchers" at the end tells me the fine print is coming same energy as "we found a cure but"

@DeepLearningAI i bet the doctors it missed saw something worth double-checking though wonder how many "false positives" it flagged vs real misses

@DeepLearningAI Google's system seems decent for catching missed cases