According to the British newspaper "The Sun", the "MoodCapture" application uses the phone's front camera to capture the person's facial expressions and surrounding areas, and then evaluates the images in search of signals related to the situation.

It has been found to correctly identify early symptoms of depression with an accuracy rate of up to 75 percent.

Professor Andrew Campbell, from Dartmouth College, said: "People use facial recognition software to unlock their phones hundreds of times a day. MoodCapture uses artificial intelligence. There is fantastic potential to scale this technology without any additional input or burden on the user."

The study, published on the arXiv preprint database, tested the app on 177 people diagnosed with major depressive disorder.

125,000 photographs were taken of participants over 90 days.

The researchers said the accuracy of the application indicates that the technology may be available to the public within the next five years.

Professor Campbell added: "This is the first time that natural images have been used to predict depression."

However, there is still a lot to be done if this application becomes reliable.

Associate Professor Nicholas Jacobson said: “Our aim is to capture the changes in symptoms that people with depression experience in their daily lives. If we can use this to predict and understand rapid changes in depression symptoms, we can ultimately prevent and treat them. The sooner we can do this, the greater the impact.” Depression is less profound.