Back to all news
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
This project brings advanced AI and digital assessment techniques into the prediction and prevention of severe neuropsychiatric crises—areas closely linked with neuroradiology and imaging AI. The initiative represents a step toward personalized care and resource optimization in mental health, which could complement imaging-led brain health diagnostics.
Source
EurekAlert
Related News
•EurekAlert
AI and Advanced Microscopy Unveil Cell's Exocytosis Nanomachine
Researchers have discovered the ExHOS nanomachine responsible for constitutive exocytosis using advanced microscopy and AI-enhanced image analysis.
•EurekAlert
Physical Activity Linked to Breast Tissue Biomarkers in Teens
A study links adolescent recreational physical activity to changes in breast tissue composition and stress biomarkers, potentially impacting future breast cancer risk.
•EurekAlert
AI Reveals Key Health System Levers for Cancer Outcomes Globally
AI-based analysis identifies the most impactful policy and resource factors for improving cancer survival across 185 countries.