A new way to determine the sex of a murder victim has been found

AI is finding answers to questions that previously seemed impossible. In recent years, artificial intelligence has shown potential in fields ranging from medicine to industrial automation. Now scientists from India are presenting a new AI achievement: an algorithm capable of determining a person’s biological sex from X-rays of their teeth with 94 percent accuracy.

In order to train the AI to recognize signs of sex from X-rays, the team of scientists selected three thousand images where a person’s sex was known. This allowed the algorithm to learn to recognize the characteristic features of the structure of teeth and jaws in men and women. What is interesting, however, is that the AI is able to distinguish signs of sex from traces left on teeth and jaws by diet and socioeconomic conditions in childhood.

After training, the AI was tested on a thousand X-rays, and the results were striking. The algorithm correctly identified a person’s sex 94% of the time. This discovery could have wide application, especially in criminal investigations, where determining the sex of a victim by DNA analysis is for some reason impossible.

However, despite the impressive accuracy of the algorithm, scientists admit that it still needs further development and testing. Perhaps future research will improve the accuracy of sex determination and broaden the range of applications of the method.

The use of AI in medicine is already commonplace. It helps doctors diagnose diseases, predict the effectiveness of treatments, and even perform surgeries. However, the use of AI in forensics could represent a new era in the investigation of crimes.

Determining the sex of a victim is an important factor in the investigation of crimes. It can help law enforcement agencies narrow down suspects and speed up the investigation process. In cases where determining gender by DNA analysis is not possible, an algorithm developed by scientists in India could be an indispensable tool for law enforcement.

However, apart from forensics, this algorithm can be useful in other areas as well. For example, in medicine, it can help doctors predict the risk of certain diseases in patients based on their sex. Also, this method can be used in anthropology to study biological differences between men and women in different eras and cultures.

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