Einstein College Awarded $18M NIH Grant to Develop AI Tools for Mental Health Crisis Prediction
Albert Einstein College of Medicine received an $18 million NIH grant to create AI-based tools for predicting mental health crises using cognitive monitoring.
Key Details
- 1$18 million NIH grant awarded to Albert Einstein College of Medicine.
- 2Project aims to develop AI algorithms and digital cognitive assessment tools for predicting crises in severe mental illnesses (SMI) like schizophrenia and bipolar disorder.
- 3Study will recruit 1,500 psychiatric inpatients at McLean Hospital and follow 250 participants post-discharge.
- 4Tools will use real-time cognitive and symptom-monitoring data to forecast risk of crisis, hospitalization, and rehospitalization.
- 5The digital platform will be available at no cost to mental health professionals, expanding access.
Why It Matters

Source
EurekAlert
Related News

UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.

Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.

Duke Receives $25M to Lead National Trustworthy AI Hub for Dementia and Aging
Duke University has launched a $25 million national center to make AI for aging and dementia clinically robust and trustworthy.