Diagnosing symptoms of depression and anxiety using artificial intelligence

Artificial intelligence can detect the distress and depression of the treatment staff and hospital staff. Researchers at NYU Langone Health Academic and Medical Center believe that artificial intelligence can help detect symptoms of anxiety, burnout and depression in employees. This event will play a key role in maintaining mental health in the future. In the following, we will examine more details of the progress of artificial intelligence in the field of health.

The reason for the importance of new findings in the field of mental health and AI What is?

Research from NYU Langone Health shows how artificial intelligence can detect signs of stress among health care professionals and medical staff. These studies can promise the bright future of mental health screening based on artificial intelligence and give news of the fruitfulness of efforts in this field.

In research published in the journal “Medical Internet Research AI”, 800 health care professionals including doctors, nurses and emergency medical workers were surveyed. These 800 people were those who were under the supervision of psychiatrists in the first wave of Covid-19 in the United States of America. Studies show that those who talked about their experiences in different departments of the hospital and in different fields such as sleep disorders or mood problems during the treatment sessions were more likely to suffer from depression, anxiety disorders, etc.

Researchers have proven that artificial intelligence technology is an effective tool to support mental health in diagnosing symptoms of depression and anxiety.

Statistics have shown that the mental pressures resulting from the harsh working conditions caused hundreds of thousands of nurses to leave their jobs during the Corona epidemic. Surveys show that a large number of nurses also tend to resign; But they have not acted yet. In addition to the application of artificial intelligence in identifying stress symptoms, this technology can also be used to identify flaws in the treatment process and create improvement strategies.

Examples of AI-assisted diagnosis

In July 2022, $5 million in funding was allocated to a health technology project in Hong Kong to introduce a data-driven approach to mental health diagnosis and treatment. A project that has now come to fruition after several years of research and investigation in other countries, and the researchers of the academic and medical center “NYU Langone Health” have published its results. It should be remembered that previously, artificial intelligence has played a prominent role in treating other problems; For example, in Changi General Hospital, artificial intelligence has been used to diagnose blood pressure and treat it.

Talkspace is another example of health diagnosis with the help of AI. This program analyzes the warning messages to patients who are at risk of self-harm. Various examples of AI advancements in the field of health demonstrate the potential of AI to diagnose mental health issues.

Conclusion

In recent years, artificial intelligence has been very effective in the field of health and medicine. Now, researchers at NYU Langone Health have proven that artificial intelligence can play a significant role in diagnosing depression, anxiety, and other mental disorders. With the help of this technology, you can experience a better treatment process.