It’s clear that artificial intelligence is smart and can only get smarter due to today’s limitations. With that in mind, then, it should come as no surprise that AI is now capable of estimating obesity, a skill that could become helpful in the near future.
So, here’s the thing, folks from the University of Washington have managed to create an impressive artificial intelligence algorithm that is capable of estimating obesity levels in a city by analyzing its overall infrastructure.
To make all of this work, the algorithm takes advantage of Google Street View and satellite images. Additionally, we understand that the system has figured out that places with spaces between buildings and more green areas tend to have lower obesity rates.
Getting this information isn’t easy because the artificial intelligent algorithm had to go through over 150,000 satellite images taken from six cities.
It should be noted that the algorithm uses deep learning to have a wide understanding of how the design of a city is planned, and its effect on obesity.
The researchers had the following to say, which is quite true:
“More than one-third of the adult population in the United States is obese. Obesity has been linked to factors such as genetics, diet, physical activity, and the environment.”
This entire information was recently published in JAMA Network Open, and while we find it interesting, it should be clear that the data is flawed. You see, a cities infrastructure is not the only aspect that can affect obesity levels of the population.
Probably the most important aspect has to do with income and wealth, along with the health-conscious mentality of an individual.
Now, we’re happy that AI is being used in a plethora of things in a bid to solve major problems, but we doubt using it to stem obesity levels by checking out a city’s infrastructure is the right way.