Swedish study of 100,000 women found AI-supported mammograms lowered rate of interval cancer by 12%
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Radiologists catch more aggressive breast cancers by using AI to help read mammograms, study finds | CBC News
When radiologists used artificial intelligence to help read mammograms, the rate of detection of breast cancers increased, resulting in fewer aggressive and advanced cases, a large trial in Sweden has found.
CBC (www.cbc.ca)
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Radiologists catch more aggressive breast cancers by using AI to help read mammograms, study finds | CBC News
When radiologists used artificial intelligence to help read mammograms, the rate of detection of breast cancers increased, resulting in fewer aggressive and advanced cases, a large trial in Sweden has found.
CBC (www.cbc.ca)
This is an example of how we should be using ML. Specialized agents that are trained for very specific goals that are otherwise incredibly tedious, expensive, and inefficient to explore. Not fucking psychosis-inducing chatbots and propaganda generators.
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This is an example of how we should be using ML. Specialized agents that are trained for very specific goals that are otherwise incredibly tedious, expensive, and inefficient to explore. Not fucking psychosis-inducing chatbots and propaganda generators.
Both are excellent at what they’re designed to do. One examines breasts and one generates natural sounding language. It’s only when you start using it for something it’s not designed to do when you run into problems. Applies to both.
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This is an example of how we should be using ML. Specialized agents that are trained for very specific goals that are otherwise incredibly tedious, expensive, and inefficient to explore. Not fucking psychosis-inducing chatbots and propaganda generators.
This is why I hate the term “AI” to describe LLMs, which only passively have to do with ML algorithms.
