This post is authored by Aparna Ramakrishnan and Pooja Kumaravel of the BIDMC Division of Digital Psychiatry. Depression is a leading cause of disability globally, affecting more than 264 million ...

Please provide your email address to receive an email when new articles are posted on . The AI-based tool correctly identified depression in around 71% of patients. It also correctly ruled out ...

Please provide your email address to receive an email when new articles are posted on . The PHQ-9 was more effective than suicidal ideation screening in identifying patients who would attempt suicide ...

As the world of artificial intelligence blooms, some players in the health care industry are looking to make a major difference in public health. HMNC Brain Health — a Munich, Germany-based health ...

Background and goal: Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient setting. This study evaluated an AI-based machine learning ...

DENVER — Professor Johnny Kim with the University of Denver's Graduate School of Social Work was picked by healthcare technology company Ellipsis Health to validate a voice tool that uses artificial ...

Novel scale shifts nomenclature away from "treatment resistant" depression ...

In a new guideline, the Canadian Task Force on Preventive Health Care (CTFPHC) “strongly” recommended against screening all adults with a standardized tool for depression, stating instead that ...

A study confirms the uptick in psychological distress experienced by healthcare workers (HCWs) early in the COVID-19 pandemic and shows that an artificial intelligence (AI) tool can help detect ...

About one in every eight women experiences symptoms of postpartum depression, also known as perinatal mood and anxiety disorders (PMADs), per CDC data — and with a national shortage of mental health ...