Lab profile
About A2IR
A2IR is a cross-disciplinary initiative that empowers healthcare providers, researchers, and patients through the deployment of AI healthcare applications. The center bridges clinical expertise with data science to develop AI tools for detection, characterization, and prognostication of various medical conditions, ultimately improving patient care and clinical workflow efficiency.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Evaluation of Small Vessel Disease Burden on MRI and Stroke OutcomesAssessing whether a composite SVD score derived from MRI features improves stroke outcome prediction when integrated with clinical factors.
- Efficient and Accurate Computed Tomography Based Stone Volume Determination: Development of an Automated Artificial Intelligence AlgorithmInvestigating the diagnostic accuracy and precision of an AI algorithm for determining kidney stone volume determination.
- Meniscus tear detection on knee magnetic resonance images with U-net modelEvaluating the performance of a 3D/2D deeply supervised U-net model for detecting and localizing meniscal tears in knee MRI scans.
- International Multi-Institutional Validation Study of Novel Deep Machine Learning Artificial Intelligence Model to Predict Risk of Peritoneal Carcinomatosis in Gastric CancerCreating a robust AI model using convolutional neural networks to analyze pre-treatment CT scans and clinical data to assess the risk of peritoneal carcinomatosis in gastric cancer.
- AI Enabled Opportunistic Detection of Incidental Breast Lesions on CT Imaging
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Machine learning approaches to predict early cardiac immune-related adverse events in patients receiving immune checkpoint inhibitors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
- Virtual fluorescent labeling of engineered vascular networks with embedded tracer particles.Acta biomaterialia · 2026
- In vivo human skin imaging: Distinguishing cellular and fibrillar components with fluorescence lifetime microscopy.The Journal of investigative dermatology · 2026
Active NIH grants
No active NIH grants; 1 earlier grant linked to this lab’s researchers.
All 1 →04 · Updates
Updates and lab news
News and events from the lab’s own site.
- NASCI 2026 Annual Meeting – AI Enabled Opportunistic Detection of Incidental Breast Lesions on CT ImagingEventSep 25, 2026 · airesearch.medschool.uci.edu
- Peter Chang, MD, Translates AI to Advance HealthcareNewsMar 25, 2026 · airesearch.medschool.uci.edu
- Tapping AI to boost cancer detection and treatmentNewsFeb 23, 2026 · airesearch.medschool.uci.edu
- Peter Chang, MD, Appointed As Director of Institute for Precision HealthAnnouncementFeb 5, 2026 · airesearch.medschool.uci.edu
- SCSP AI+ Expo 2025EventJun 12, 2025
- AI has the Potential to Speed Up TreatmentNewsNov 9, 2023 · airesearch.medschool.uci.edu
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.