In another fatal blow to gender ideologues who claim biology is just a “social construct”, scientists have discovered that AI can predict the sex of patients with almost 100% accuracy, simply from x-rays of their mouths.
Scientists in Brazil created an AI machine-learning system that was 96% accurate when the x-ray was of a sufficient quality and the subject was over 16. The researchers’ findings have been published in the Journal of Forensic Sciences.
The discovery is likely to be of tremendous use to forensic scientists working to identify individuals on the basis of their remains. In many cases, all that’s left is the jaw and teeth. It’s also likely to aid dentists working on living patients as well.
These researchers collected 207,946 panoramic radiographs—x-rays of the entire mouth—and corresponding reports from 15 clinical centers in São Paulo, Brazil. Fifty-eight percent of the x-rays came from female patients. All patients were alive at the time the radiograph was made. Forty-three percent of the patients had up to four missing teeth, and 5% percent had more than sixteen missing teeth.
The data was organized into a database and two machine-learning algorithms were trained to identify the sex of each patients based on their x-ray.
After optimization, both types of algorithms had similar accuracy in estimating gender. The main factor affecting the accuracy was the resolution of the pictures. When the resolution was higher, so was the accuracy. Age was also important. For patients between 20 and 50 years of age, the accuracy of the system was over 97, which then dropped to around 95% for patients above 70 years of age.
For patients between 6 and 16 years of age, the system was 87% accurate in estimating their sex, while accuracy was only 74% for children below six. For all individuals aged 16 or over, the accuracy was 96%.
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