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 Framework Accelerates Aortic Aneurysm Risk Prediction from Imaging
Researchers developed BioPINN-LM, combining physics-informed neural networks and multimodal large language models to deliver fast, interpretable risk assessments for ascending thoracic aortic aneurysms.
•EurekAlert
Study Finds Patient Voices Missing in Generative AI Design for Oncology
A Flinders University-led review found patients and carers are rarely involved in shaping generative AI tools used in oncology.
•EurekAlert
Scripps Researchers Develop AI Foundation Model for ECG-Based Heart Disease Prediction
A new AI foundation model, ECG-CLIP, improves detection and prediction of multiple heart diseases using large-scale ECG and clinician note data.