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
$5 million NIH grant to find causes of chronic pain after surgery
Study may lead to personalized prevention, management tools for post-operative pain.
Analyzing multiple mammograms improves breast cancer risk prediction
AI method spots subtle changes over time, enhances accuracy of determining five-year risk
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.
Talk: AI for Health with Wearables
Chenyang Lu to deliver keynote speech at CPS-IoT Week, the premier event on cyber-physical systems and Internet of Things.
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
Recent talks
- 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.