Center on Artificial Intelligence Research for Health

University of Southern California · Marina del Rey, CA, United States

Center83 peopleWearable sensors and mobility data for behavior predictionGenerative AI and foundation models for healthcare

Lab profile

About AI4Health

The Center develops novel AI approaches to accelerate biomedical research and improve health outcomes. Headquartered at USC Information Sciences Institute, it builds on ISI's history of innovations in AI and data science for biomedical research, including leadership in eight NIH Coordinating Centers since 2008. The Center brings together AI researchers with expertise in natural language, computer vision, network science, knowledge technologies, data integration, and machine learning to collaborate with health experts across USC's medical schools and partner institutions.

Wearable sensors and mobility data for behavior predictionGenerative AI and foundation models for healthcareKnowledge graphs for biomedical dataSocial media analysis for health behaviorAI for treatment planningAI safety and privacy in healthcareMental healthMedical imaging

01 · Research focus

Research areas and highlights

Topics and recent work as stated on the lab’s own site.

  • Discovering causal links from wearable sensors and mobility data to predict behaviors and performanceResearch on mental health, sports performance, diet and obesity using wearable sensor data.
  • Generative AI and foundation models for targeted domains and uses and for personalizationApplications in psychiatry documentation, glaucoma detection, and analysis of x-ray/CT imaging.
  • Knowledge graphs to characterize and organize diverse data and make connections to related informationWork on laboratory data collection, physician expertise, and clinical trials.
  • Social media to understand human behaviorResearch on teen mental health, eating disorders, health misinformation, and disease outbreaks.
  • Learning about the physical world for efficient design and execution of complex treatment plansAutomated generation of radiation plans.
  • AI safety and privacy to ensure confidentiality, fairness, and transparencyFederated learning with neuroscience studies and encryption of patient data.

02 · People

Leadership and researchers

People listed on the lab’s team pages, by role.

Yolanda GilDirector
Jose-Luis AmbiteCo-Director · Co-director
Yang ChaiCo-Director · CO-DIRECTOR
David ContiCo-Director · CO-DIRECTOR
Abigail HornCo-Director · Co-director
Carl KesselmanCo-Director · CO-DIRECTOR
Yigal ArensFaculty
Terry BenzelFaculty
Emilio FerraraFacultyLinkedIn ↗
Steven FinckeFaculty
Marjorie FreedmanFaculty
Mayank KejriwalFaculty
Mahyar KhayatkhoeiFaculty
Craig KnoblockFacultyLinkedIn ↗
Kristina LermanFaculty
Jonathan MayResearch Associate Professor of Computer Science, Principal Scientist
Jelena MirkovicFaculty
Fred MorstatterResearch Assistant Professor of Computer Science, Principal Scientist, Associate Director of the Data Science Program

03 · Research intelligence

Research Intelligence evidence

Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.

04 · Updates

Updates and lab news

News and events from the lab’s own site.

05 · Official presence

Lab sources and channels

The lab’s own pages and accounts.

06 · Related

Related labs and centers

Labs at the same institution and labs working on similar topics.