Remote Sensing
- Prediction of adverse events, fall prevention, disease onset and outcomes
- Reduction of hospital stay
Research
Accelerating Health and Healthcare Innovation with Human-Centric AI.
Across Northeastern University
Join us as we harness the combined power of applied AI, research, an experiential learning model and cutting-edge data science to advance healthcare innovation and create a healthier, more equitable future.
Schedule a Strategy Session ↗How we help
We collaborate with partner organizations across research, product development, data analytics, education, talent acquisition, ethics, and more to find AI solutions that improve health and healthcare.
AI + Health in action
See how Northeastern University teams are working with partners on patient engagement, cancer detection, precision oncology and clinical diagnostics.
Patient engagement
An AI system using large language models and retrieval-augmented generation provides accurate, personalized health information across multiple medical use cases.
Read the case study ↗
Cancer detection
A multidisciplinary team is developing AI models to analyze digitized tissue samples and classify cancer cells, with pathologists involved in reviewing model outputs.
Read the case study ↗
Precision oncology
AI tools processed more than 3,000 pages of records from 148 patients, with neural networks achieving 90% accuracy in reproducing information from intake documents.
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Clinical diagnostics
The AI Solutions Hub helped Radiolife validate a clinical-grade AI diagnostic platform for rapid infectious-disease detection and prepare its results for regulatory scrutiny.
Read the case study ↗Expert perspectives
Join our Director of AI + Health, Gene Tunik, for engaging, topical and conversational discussions with health leaders exploring the intersection of AI and health.
Conversations with health leaders about the future of AI in healthcare.
A conversation with Hoda Sayed-Friel.
A conversation with John Brownstein.
Our people