AI for Health provides data-driven tools for healthcare:
- Phenotype complex diseases.
- Predict clinical outcomes and treatment effects.
- Discover risk factors associated with clinical outcomes.
- Support clinical decisions and precision medicine.
Research underway at Washington University in St. Louis
Researchers define new subtypes of common brain disorder
Artificial intelligence identified 3 subtypes of Chiari type-1 malformations, could improve medical decision making
Deep learning models can be trained with limited data
Ulugbek Kamilov, graduate students, develop method that could reduce errors in computational imaging
DEMIST artificial intelligence tool may enhance usability of medical images
A deep-learning-based image denoising method developed by Abhinav Jha may improve detection of myocardial defects in low-count SPECT scans
New machine learning method can better predict spine surgery outcomes
Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more accurately gauge how patients may recover from spine surgery.
AI-assisted breast-cancer screening may reduce unnecessary testing
Using AI to help doctors read mammograms reduces follow-up testing without missing cancer cases, simulation shows
AI-based algorithms need to be evaluated for their clinical applications
Abhinav Jha-led research focuses on developing algorithms to evaluate nuclear medicine images for clinical applications, such as cancer diagnosis and treatment
Wearable tech for contact tracing developed
‘Potentially powerful’ automated tool could help fight COVID, future pandemics in hospitals
Interdisciplinary team wins award for paper on predicting postoperative complications with wearables, artificial intelligence
The award to Chenyang Lu and collaborators was announced at the UbiComp/ISWC 2023 conference
Recent talks
- Phenotype Chiari Malformation with Artificial Intelligence (Slides), 1st Annual Scientific Update, Redefining Chiari Type I Malformation and Its Impact on Brain Development, February 2025
- Advancing Children and Youth Health with Artificial Intelligence, Spark Meeting, January 2025.
- AI for Health with Wearables, Keynote, Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week), May 2024.
- AI for Health with Wearables (Slides) (Video), Mobile and Wearable Health Seminar Series, University of Cambridge, February 2024.
- Artificial Intelligence and Internet of Medical Things for Healthcare (Slides) (Video), Medicine Grand Rounds, Department of Medicine, Washington University School of Medicine, September 2022.
- Internet of Medical Things: Predicting Clinical Outcomes with Wearables (Slides) (Video), IoT Day Keynote, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’22), June 2022.