Research and lab updates
Selected publications, milestones, and updates from the Advanced AI Research Lab.
IHCA scoping review published
The completed review of machine-learning approaches for predicting in-hospital cardiac arrest has been published in Artificial Intelligence in Emergency Medicine.
Machine-learning study of kSZ maps published in PASP
Our work using machine learning to predict CMB optical depth τ from kSZ maps has been published in the Publications of the Astronomical Society of the Pacific.
NullBUS accepted at IEEE EMBC 2026
Our work on multimodal mixed-supervision for breast ultrasound segmentation using nullable global–local prompts has been accepted for presentation.
XBusNet published in Diagnostics
Raja Mallina and Bryar Shareef published a text-guided breast ultrasound segmentation method based on multimodal vision–language learning.
BUSTR vision–language reporting preprint released
The AAR Lab released BUSTR, a descriptor-aware vision–language model for breast ultrasound text reporting.