Lab profile
About CAIIMI
CAIIMI's vision is to build a center for advanced innovative AI research, education, clinical translation, commercialization, and collaborations in medical imaging by synergizing computational expertise and clinical resources in Pittsburgh. The overarching research goal centers on trustworthy clinical/translational medical imaging AI development, dissemination, and commercialization that is essential to bringing AI imaging tools/software/informatics to clinical practice.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Machine Learning Models for the Prognostication of Patients after Cardiac ArrestLeveraged AI techniques to build interpretable machine learning models for prognostication using computed tomographic images of head and clinical data for post-arrest patients.
- Super Resolution Ultrasound (SRU) Imaging using Deep Learning (DL) ApproachDeveloped a deep learning-based SRU imaging using U-net architecture that can reconstruct microvascular images under relatively high concentration and uneven microbubble distributions.
- Development of a Longitudinal ML model for the Clinical Management of Cerebral Aneurysm
- Utility of Machine Learning in Evaluating Musculoskeletal Imaging for Pathology
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
- Differential cerebral white matter tract alterations in generalized anxiety disorder revealed by ultra-high-field 7 T diffusion-weighted imaging.Journal of affective disorders · 2026
- Artificial intelligence (AI) and the choroidal challenge: A comprehensive review of AI applications in choroidal imaging.Survey of ophthalmology · 2026
- TESERA: morphologic subtyping and prognostic stratification of hepatocellular carcinoma from H&E whole-slide images.Hepatology (Baltimore, Md.) · 2026
Active NIH grants
- Statistical Approaches for Data Harmonization for PET Imaging Studies of Alzheimer's DiseaseDana Tudorascu · NIA · FY 2026
- Mechanisms Affecting the Natural History of Cervical Spine Degeneration after ArthrodesisWilliam Anderst · NIAMS · FY 2026
- Multiscale Models of Age-Specific Neurometabolic CouplingBistra Iordanova · NIA · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Scientific Talks Delivered by CAIIMI MembersNewsMar 14, 2022 · aimi.pitt.edu
- CAIIMI Director Dr. Shandong Wu's Talk Tomorrow to AMIANewsJun 14, 2021 · aimi.pitt.edu
- CAIIMI Associate Director Dr. Kayhan Batmanghelich's SVC Lecture on May 14NewsMay 13, 2021 · aimi.pitt.edu
- Follow CAIIMI on TwitterNewsMar 26, 2021 · aimi.pitt.edu
- Collaboration discussion with Institute for Precision MedicineNewsDec 14, 2020 · aimi.pitt.edu
- CAIIMI supports AI in Medical PhysicsNewsNov 25, 2020 · aimi.pitt.edu
- CAIIMI Stimulation Pilot Research Program RFA releasedNewsNov 22, 2020 · aimi.pitt.edu
- Collaboration meeting held with Amazon AWS teamNewsNov 18, 2020 · aimi.pitt.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.