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
Machine learning could help predict adherence to HIV treatment in adolescents
Claire Najjuuko, Chenyang Lu, Fred Ssewamala use AI to target interventions to improve compliance
Foundation AI model predicts postoperative risks from clinical notes
AI for Health Institute team unveils a versatile large language model to enhance perioperative care
Improving breast cancer risk assessment for Black women
The National Cancer Institute, part of the National Institutes of Health (NIH), has awarded Aimilia Gastounioti a five-year $3 million grant to improve breast cancer risk assessments for Black women.
Bridging AI and Healthcare
Dr. Chenyang Lu and Dr. Philip Payne discuss AI’s impact on health care in the Gateway to Informatics podcast, exploring key advancements, challenges, and future directions.
Deep learning to increase accessibility, ease of heart imaging
Abhinav Jha and collaborators have developed a method that leverages artificial intelligence to ensure accurate heart scans without added radiation or cost
WashU institute studying the use of AI in healthcare fields
Artificial intelligence researchers and health investigators at WashU are working together to try to solve health problems with technology.
$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
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.