A revolution in psychoanalysis: Scientists propose to use AI to diagnose depression
Depression is a common disease that can have a significant impact on human life. It can lead to problems such as poor sleep, decreased interest in activities, apathy, and feelings of hopelessness. Depression can be difficult to diagnose because its symptoms can be similar to those of other diseases.
AI can help improve the diagnosis of depression by analyzing large datasets that include information on symptoms, medical history, and other factors. For example, a study conducted by Carnegie Mellon University researchers showed that AI can accurately diagnose depression with an accuracy of up to 80%, Science Alert reports.
AI can also help doctors predict which treatments will be effective for a particular patient. For example, a study conducted by the University of Chicago showed that AI can accurately predict whether a patient will respond to antidepressants.
AI can be used to diagnose depression using various methods:
- MRI: AI can be used to analyze the structure and function of the brain to detect changes associated with depression.
- Wearable devices: AI can be used to analyze data collected by wearable devices such as smartwatches to detect signs of depression, such as changes in sleep patterns, physical activity, and behavior.
- Social networks: AI can be used to analyze data published on social media to identify words and phrases that may be signs of depression.
As a reminder, scientists want to involve ChatGPT in the development of language models so that humanity can communicate with pets.
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