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

NYU AI Model Improves 5-Year Breast Cancer Risk Prediction via 3D Mammograms
NYU researchers developed an AI model using longitudinal 3D mammograms that outperforms single-scan and 2D-based tools in predicting 5-year breast cancer risk.

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.

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.