Imagine a test to reliably detect an anxiety disorder or predict an impending depressive relapse that is as quick and easy as taking a temperature or measuring blood pressure. Health professionals have many tools to assess patients' physical illnesses, but not reliable biomarkers--objective indicators of health status as observed from the external part of the patient – to check mental health. However, now some researchers in artificial intelligence they believe that the sound of the voice could be the key to knowing our state of mental health… and artificial intelligence is ideal for detecting changes, which are otherwise difficult to perceive, if not impossible. The result is a series of web-based applications and tools designed to monitor our mental health status, as well as programs capable of delivering real-time mental health assessments to healthcare professionals in telemedicine and call centers. Psychologists have long known that some mental problems can be detected by listening not only to what the person says, but how do you say itsaid Maria Espinola, a psychologist and adjunct professor at the University of Cincinnati School of Medicine.

NEW YORK (CBSNewYork) – Could artificial intelligence help doctors diagnose diseases just by looking at faces? When you hear facial recognition you probably think about crime fighting or Homeland Security screening for terrorists. It turns out a person's face can tell a lot about their genetic makeup and the medical conditions it may cause, and a computer can learn to read those differences, CBS2's Dr. Max Gomez reported. "We've learned, surprisingly, that many thousands of genetic rare diseases have a unique facial appearances," Dekel Gelbman told Gomez. Gelbman is the CEO of artificial intelligence company FDNA.