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AI technology has already proven to be useful in several fields. One field is the medical field. According to a new report, Google partnered with German company Bayer to provide AI tools for radiologists.
Right now, we’re still learning just how far AI technology can go in the future. Recently, in an interview with the Guardian, billionaire Elon Musk predicted that superhuman AI will exist next year. With how rapidly AI technology has been developing, that may not be a far-off prediction.
Google partnered with Bayer to provide AI tools for radiologists
Google is not shy about sharing its AI tools with the world. We recently got the news that Gemini will power Apple’s AI technology. Well, according to a new report, the search giant has partnered with Bayer to provide accessible AI tools that will aid radiologists. More specifically, Google Cloud is going to help develop an AI platform that will help radiologists diagnose conditions and research patients’ medical history.
Since this is Google’s AI technology we’re talking about, we expect it to be very powerful. When it comes to the field of radiology, scanning and diagnosing patients is a long and tedious process. Also, looking up patients’ medical histories can take upwards of 20 minutes.
This AI platform will be able to help radiologists in those respects. We don’t know exactly what this platform will be called or what it will do. So, there’s not much to say about its capabilities. In any case, this could be great for radiologists who have been overworked.
Many radiologists complain of burnout, and there are tons of jobs in the field that remain vacant. According to job postings on the Association of American Medical College’s job site, there are nearly 2,000 vacant jobs. That’s just on the association’s Radiology website. That’s nearly 10 times as many vacant positions than there were 10 years ago. So, the existing radiologists have a major workload to work through.
It’s just a tool
As always, Google does not plan to make the AI tool a replacement for human radiologists. At the end of the day, AI is still not perfect. Also, when we’re talking about medical stuff, accuracy is extremely important. So, the companies are going to take care to make this platform a tool and not a replacement for human radiologists.
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